Level AI

11 jobs at Level AI

Lead Software Engineer (Noida / Bengaluru)

Noida, IN · Onsite · 1 week ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Position Overview : We are looking for a Lead Software Engineer to help raise the engineering bar for the entire technology stack at Level AI, including applications, platform and infrastructure. They will actively collaborate with team members and the wider Level AI engineering community to develop highly scalable and performant systems. They will be a technical thought leader who will help drive solving complex problems of today and the future by designing and building simple and elegant technical solutions. They will coach and mentor junior engineers and drive engineering best practices. They will actively collaborate with product managers and other stakeholders both inside and outside the team. Competencies : Large Scale Distributed systems, Search (such as Elasticsearch), High scale messaging systems (such as Kafka), Real time Job Queues, High throughput and Low latency systems, Python, Django, Relational databases (such as PostgreSQL), data modeling, DB query Optimization, Caching, Redis, Celery, CI/CD, GCP, Kubernetes, Docker. Responsibilities - - Develop and execute the technical roadmap to scale Level AI’s technology stack. - Design and build highly scalable and low-latency distributed systems to process large-scale real-time data. - Drive best-in class engineering practices through the software development lifecycle. - Drive operational excellence for critical services that need to have high uptime. - Collaborate with a variety of stakeholders within and outside engineering to create technical plans to deliver on important business goals, and lead the execution of those. - Stay up to date with the latest technologies and thoughtfully apply them to Level AI’s tech stacks. Requirement - - Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 Engineering institutes with relevant work experience with a top technology company. - 6+ years of Backend and Infrastructure Experience with strong track record in development, architecture and design - Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues. - Experience navigating and understanding large-scale systems and complex code bases and architectural patterns. - Experience mentoring and providing technical leadership to other engineers in the team. - Google pub-sub along with kafka in the queues part - Flask, FastAPI, Django - Auto-Scaling in distributed systems - Nice to have: - Experience with Google Cloud, Django, Postgres, Celery, Redis. - Some experience with AI Infrastructure and Operations. Compensation: We offer market-leading compensation, based on the skills and aptitude of the candidate. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s

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Senior Site Reliability Engineer (Remote, India) EST

India, Remote · Remote · 2 weeks ago

Please note: This role requires working in the EST Zone (usually from 8 PM to 4 AM IST) in order to add technical coverage to US customers. About Level AI Level AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey. Headquartered in Mountain View, California, Level AI is a Series C company backed by leading investors, including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights. About the role The Senior SRE will be positioned at the intersection of backend engineering, infrastructure operations, and FinOps. The role is explicitly broader than a traditional DevOps engineer and explicitly more hands-on than a pure architect. What you'll be liable for: Infrastructure cost efficiency and FinOps. Own the continued reduction of Kubernetes overprovisioning, drive right-sizing programs, and maintain the cost telemetry that backend teams use to make decisions. GPU throughput optimization. Run a structured experimentation program on on-premise GPU clusters, partnering with AI service owners. Led by the Engineering leadership, with this role providing the experimental bandwidth. Backend enablement, not ownership absorption. Build the tooling, dashboards, and processes that let backend teams from other groups own their own cost and reliability budgets. The deliverable is leverage, not headcount-shaped work. Reliability instrumentation. As the infra team owns most of the instrumentation across new and offline flows, this role takes a central seat in making sure that surface area is captured properly for both cost-at-scale and reliability. Selective security workstreams. Take on a defined slice of the active security work so that senior DevOps engineers are not the single point of execution for security-adjacent platform changes. We'd love to explore more about you if you have: This role explicitly requires 4-5 years of hands-on systems experience. We are not looking for someone who will lean entirely on AI tooling to discover what to do; we are looking for someone who already knows what to ask and can use AI tooling as a force multiplier on top of that judgement. Backend engineering depth: production experience in Python, Go/Rust, comfortable owning services end to end, able to read and reason about backend code across teams. Kubernetes at scale: scheduler behaviour, resource requests/limits, HPA/VPA, node pool design, cost-aware autoscaling (Cast AI, Karpenter, or equivalent). Cloud and on-premise infrastructure: GCP fluency, IaC (Terraform), CI/CD, and comfort operating in hybrid setups, including on-prem GPU clusters. GPU workload understanding: familiarity with throughput profiling, batching, KV-cache behavior, inference server tuning, and GPU utilisation metrics. Observability and reliability: metrics, traces, logs, SLOs, and the discipline to instrument systems properly rather than reactively. FinOps mindset: demonstrated history of converting infrastructure choices into measurable cost outcomes. Security baseline: able to take on platform-security workstreams without requiring constant handoff to the DevOps team. Can work in the EST time zone (A must)

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Renewal Coordinator - Remote, India

India, Remote · Remote · 3 weeks ago

Department: Customer Success / Revenue Operations Reports To: Head of Account Management Location: India (Remote) Type: Full-Time Working hours - EST(3:30 AM IST) ABOUT THE ROLE Level AI is looking for a Renewal Coordinator to support a growing renewals and upsell function. This role is being created to take on the coordination, documentation and process work that keeps that motion running smoothly and to free up time for higher-value account strategy and business growth support. This is an internal-facing role to start. You will work behind the scenes with Account Management, Legal and Revenue Operations to keep renewals on schedule and well-documented. As you build context on our customers and processes, the role is expected to grow into a more customer-facing capacity, taking on administrative and timeline management responsibilities such as sending revised order documents and following up directly with customers on renewal status. KEY RESPONSIBILITIES Renewal Book of Business Management - Own the renewal calendar and drive the timeline, surfacing upcoming renewals to Account Management early enough to allow for internal planning and to support renewal kickoff conversations with customers at least 90–120 days before the renewal date. - Build the internal renewal planning kit for each account, including active contract details, usage data, contractual considerations, known changes in customer needs, and additional SKUs discussed over the course of the current contract term. - Schedule and lead recurring internal planning sessions covering renewal planning kits for upcoming renewals, status of in-progress renewals and upsell opportunities, and roll-up into the customer base forecast. - Capture account-level feedback from Account Management during planning sessions and follow through on the resulting action items. - Prepare renewal kickoff presentations. - Prepare renewal and upsell order forms, partnering with Account Management, Legal and Revenue Operations on special contract terms as needed. - Support tracking and status reporting for renewal opportunities run by partners. - Comply with Level AI’s information security, privacy, data protection, and acceptable-use policies.Protect company, customer, and confidential information; use only approved systems and access information strictly based on business need. Complete required security and privacy training and promptly report any suspected security incident, data exposure, or policy violation. Forecasting and Reporting - Maintain a weekly renewals and upsell forecast for Account Management based on inputs tracked in Salesforce. - Track Account Management forecast accuracy on a quarterly basis. Data and Process Improvement - Partner with Revenue Operations to keep renewal dates, contract terms, contacts and outcomes accurate and up to date in Salesforce. - Help evolve and document the renewal and upsell processes as the team and customer base grow. - Identify opportunities to build efficiency into existing workflows, including a strong interest in applying AI tools to streamline day-to-day work. QUALIFICATIONS - 1–3 years of experience in a customer-facing role such as inside sales, customer support, or account coordination. - Familiarity with SaaS contracts and standard commercial terms. - Strong attention to detail and highly organized, with the ability to manage many concurrent renewals accurately. - Action-oriented and comfortable working with cross-functional partners, holding them accountable to contract-driven deadlines. - Strong written and verbal communication skills. - Solid working knowledge of Salesforce CRM and Google Workspace. - Good judgment about when to resolve something independently and when to escalate. - Confident and curious about using AI tools to work more efficiently. - Genuine interest in learning the Level AI platform and the customer experience space it serves. GROWTH PATH This role is designed to grow. As you develop fluency with our customers, contracts and internal processes, you will take on direct customer-facing responsibilities.

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Senior Backend Engineer - EST , (Remote, India)

India, Remote · Remote · 1 month ago

**Please note: This role requires working in the EST time zone (usually from 8 PM to 4 AM IST) in order to add technical coverage to US customers.** Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us! Competencies: Python, Django, FastAPI, Relational database understanding (viz: PostgreSQL, SQL), MongoDB, ETL, Database design, Strong experience in designing REST APIs, real-time/streaming systems (WebSockets, gRPC), search/RAG, Cache, Redis, Celery, CI/CD, GCP, Kubernetes and Docker. Responsibilities: - Innovate, build, and invent on the behalf of our customers. Plan, execute and maintain entire products/features which millions of customers will experience. - Ability to design and code the right solutions starting with broadly defined problems. - Drive best practices and engineering excellence. - Work with other team members to develop the architecture and design of new and current systems. - Work in an agile environment to deliver a high-quality Product. - Work closely with customers on their issues. Requirements: - Qualification: B.E/B.Tech/M.E/M.Tech http://B.Tech/M.E/M.Tech from top Engineering institutes with relevant work experience with a top technology company. - Minimum 3-6 years of backend experience. Experience in at least one higher-level language, preferably Python. - Experience in Django is highly desirable. - Experience with FastAPI, MongoDB, real-time or streaming backends, and LLM-backed search/RAG is a plus. - Good understanding of relational databases, data management, and REST API design. - Some machine learning experience in the context of NLP would be preferable. - Excellent problem-solving skills. - Possess an extremely sound understanding of areas in the basic areas of Computer Science such as Algorithms, Data Structures, Object Oriented Design, Databases. - Able to work in EST Timezone in order to add technical coverage to US customers Compensation: We offer market-leading compensation, based on the skills and aptitude of the candidate. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s

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Senior Backend Engineer - Analytics, Noida

Noida, IN · Onsite · 1 month ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Competencies: Data Modelling: Skilled in designing data warehouse schemas (e.g., star and snowflake schemas), with experience in fact and dimension tables, as well as normalization and denormalization techniques. Data Warehousing & Storage Solutions: Proficient with platforms such as Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse Analytics. ETL/ELT Processes: Expertise in ETL/ELT tools (e.g., Apache NiFi, Apache Airflow, Informatica, Talend, dbt) to facilitate data movement from source systems to the data warehouse. SQL Proficiency: Advanced SQL skills for complex queries, indexing, and performance tuning. Programming Skills: Strong in Python or Java for building custom data pipelines and handling advanced data transformations. Data Integration: Experience with real-time data integration tools like Apache Kafka, Apache Spark, AWS Glue, Fivetran, and Stitch. Data Pipeline Management: Familiar with workflow automation tools (e.g., Apache Airflow, Luigi) to orchestrate and monitor data pipelines. APIs and Data Feeds: Knowledgeable in API-based integrations, especially for aggregating data from distributed sources. Responsibilities - - - Design and implement analytical platforms that provide insightful dashboards to customers. - Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access. - Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness. - Ensure the architectural design is extensible and scalable to adapt to future needs. Requirement - - - Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company. - 3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design. - Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues. - Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns. - Proven experience in building high-scale data platforms. - Strong expertise in data warehouse schema design (star schema, fact tables, dimensions). - Experience with data movement, transformation, and integration tools for data propagation across systems. - Ability to evaluate and implement best practices in data architecture for scalable solutions. Nice to have: - Experience with Google Cloud, Django, Postgres, Celery, Redis. - Some experience with AI Infrastructure and Operations. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s

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Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)

Noida, IN · Onsite · 1 month ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! Roles and Responsibilities : - - Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection. - Train, deploy and maintain scalable automatic speech recognition pipelines to power Level AI’s ASR engine. - Keep abreast of SOTA techniques in ASR and exchange knowledge with colleagues. - Work with other team members to develop the architecture & design of systems. - Ability to independently conduct experiments with model architectures, training schemes, and approaches proposed in ASR literature. - Work in an agile environment to deliver high-quality products. Requirements : - - 2+ years of experience and a bachelor's degree in Computer Science or a related field from a tier-1 engineering institute. - Experience deploying Deep Learning based models for speech recognition pipelines. - Awareness of state-of-the-art research in speech recognition and signal processing. - Algorithm and model development experience for large-scale applications. - Strong knowledge of Machine Learning fundamentals. - Experience with Python and Pytorch.

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Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru

Noida, IN · Onsite · 1 month ago

ABOUT LEVEL AI Level AI is a Series C conversational intelligence company headquartered in Mountain View, CA, backed by top-tier VCs and Silicon Valley operators. We help enterprise contact centers understand every customer conversation — using speech AI, NLP/NLU, and retrieval systems to turn millions of unstructured interactions into decisions businesses can act on. WHY THIS ROLE EXISTS We're at the scaling inflection point. The systems that carried us from Series A to Series C won't carry us to the next stage, and we need someone to own that transition — not just build inside it. This is a Principal role: you'll set technical direction for backend and ML infrastructure across multiple teams, make the architectural calls that are expensive to reverse, and raise the engineering bar through design reviews, mentorship, and the standards you set by example. You'll report to the VP of Engineering and partner directly with our ML, Product, and Infrastructure leads across both sites. You'll work alongside engineers from Amazon, Google, and Meta who chose to build here because the problems are unsolved and the ownership is real. What you'll do - Own the architecture for real-time data processing at scale. Design and evolve distributed messaging systems that handle high-throughput streaming workloads with strict latency requirements. - Build the ML platform that lets us ship models faster. Define and execute the technical roadmap for training and serving infrastructure as our models grow in size, complexity, and inference cost. - Scale our GPU infrastructure. Own capacity planning, scheduling, and utilization across training and inference fleets — deciding what runs where, how we handle burst demand, and how we keep spend tied to actual throughput rather than idle reservations. - Scale inference. Drive down latency and cost per request as model complexity and traffic grow: batching and routing strategies, quantization and compilation, autoscaling, and caching — without degrading output quality. - Make reliability a property of the system, not a heroic effort. Drive uptime, observability, and incident response for serving systems that enterprise customers depend on in production. - Turn ambiguous business problems into executable technical plans. Partner with Product and GTM to scope large cross-functional initiatives, then break them into work other teams can run with. - Multiply the team. Lead design reviews, mentor senior engineers, and shape the engineering practices that outlast any single project. - Bring the outside in. Evaluate emerging tools and techniques with judgment — adopt what earns its complexity, skip what doesn't. - Security and Compliance - Comply with Level AI’s information security, privacy, data protection, and acceptable-use policies.Protect company, customer, and confidential information; use only approved systems and access information strictly based on business need. Complete required security and privacy training and promptly report any suspected security incident, data exposure, or policy violation. What success looks like in your first year - 90 days: You've mapped our critical paths and failure modes, shipped a meaningful improvement to a serving or pipeline bottleneck, and earned trust across both sites. - 6 months: You own a published technical roadmap for [messaging / ML infra], with at least one major migration or redesign underway. GPU utilization and inference cost per request are measured, and trending the right way. - 12 months: Our infrastructure scales predictably with customer growth, inference cost stays flat or falls as volume rises, on-call load is down, and other engineers are making better architectural decisions because of standards you established. What you'll bring - [10]+ years building backend and infrastructure systems, with a track record of owning architecture and design at scale — not just implementing it. - Deep, hands-on experience with large-scale databases, high-throughput messaging systems, and real-time job queues. - Proven ability to navigate large, complex codebases and reason clearly about architectural tradeoffs in systems you didn't build. - Experience mentoring senior engineers and driving technical decisions through influence rather than authority. - Strong written communication — you'll be making technical cases to engineers in two time zones and business cases to executives. - BTech/MTech/PhD in Computer Science or equivalent. At this level we weigh track record well above pedigree. Bonus points for - Production experience with our stack: Django, Celery, Redis, PostgreSQL, and Google Cloud. - Hands-on experience scaling GPU infrastructure and model inference in production — capacity planning, scheduling and utilization, autoscaling, and latency/cost optimization under real traffic. - Depth in specific inference tooling — vLLM, TensorRT, Triton, Ray Serve, or equivalents — and experience benchmarking tradeoffs between them. - Experience scaling a platform through a comparable growth stage (Series C → D, or equivalent), especially at a global product company's India site. - Background in speech, NLP, or information retrieval systems. Compensation & benefits - Health coverage for you, your spouse, children, and parents. - [home-office and connectivity allowance / annual learning budget / parental leave — trim to what's accurate]. - Real ownership over systems used by enterprises worldwide, with the autonomy to decide how they're built. How we hire - [4] stages, typically [2] weeks end to end: recruiter screen → technical deep dive → system design → team and leadership conversations → offer. Interviews are conducted from our India team with [one/two] conversations with US-based leadership. We'll tell you where you stand at every step. Level AI is an equal opportunity employer. We hire and promote on merit and evaluate all applicants without regard to caste, religion, sex, gender identity, sexual orientation, marital or parental status, disability, or any other personal characteristic unrelated to the job. We maintain a zero-tolerance policy on harassment in line with the POSH Act, 2013. If you need any accommodation during the interview process, tell us — we'll arrange it.

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Senior Machine Learning Engineer - NLP (Bangalore/Noida Location)

Noida, IN · Onsite · 1 month ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have - - Big picture: Understand customers’ needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions. - Work on NLP problems across areas such as voice agents, agentic applications, text classification, entity extraction, and summarisation, using LLMs. - Collaborate with cross-functional teams to integrate/upgrade AI solutions into company’s products and services - Optimise existing machine learning models for performance, scalability and efficiency. - Help implement and evaluate reasoning, planning, and memory modules for agents. - Build, deploy and own scalable production NLP pipelines. - Build post-deployment monitoring and continual learning capabilities. - Propose suitable evaluation metrics and establish benchmarks. - Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues. - Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc. Your role at Level AI includes but is not limited to - - B.Tech/M.Tech/PhD http://B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP. - Strong coding skills in Python and Pytorch with familiarity with libraries like Transformers and LangChain/LangGraph. - Strong practical experience in NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. - Knowledge and hands-on experience with Transformer-based Language Models like BERT, Llama, Qwen, Gemma, DeepSeek, etc. - In-depth familiarity with LLM training concepts, model inference optimizations, GPUs, etc. - Experience with ML and Deep Learning model deployments using REST API, Docker, Kubernetes, etc. - Good problem-solving skills involving data structures and algorithms. - Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. - Knowledge of multimodal models is a plus - Knowledge of real-time streaming tools/architectures like Kafka and Pub/Sub is a plus. Bonus Points Experience with open-source LLMs (LLaMA, Mistral, etc.) Basic understanding of vector search, RAG, and prompt engineering concepts Contributions to AI side projects or GitHub repos Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone) To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/

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Senior Machine Learning Engineer (Bangalore/Noida Location)

Noida, IN · Onsite · 1 month ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! Your role at Level AI includes but is not limited to - - Build and deploy LLM-powered agents for internal tools and customer-facing products. - Design and improve RAG pipelines, prompt engineering workflows, and tool integrations. - Experiment with open-source/closed-source LLMs. - Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents. - Optimise ML and LLM systems for accuracy, latency, scalability, and cost. - Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops. - Collaborate with product, engineering, and customer-facing teams to ship impactful AI features. We'll love to explore more about you if you have - - B.Tech/M.Tech/PhD http://B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI. - Strong programming skills in Python. - Interest and experience with RAG and agentic AI concepts. - Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries. - Interest and experience in model training, inference optimisation, and GPUs. - Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms. - Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar. To know about us: https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn: https://www.linkedin.com/company/level-ai/

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Senior Full Stack Engineer (Noida, BLR, India)

Noida, IN · Onsite · 1 month ago

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us! Core Competencies - Backend: Python (Django), Node.js (NestJS), TypeScript, REST APIs, GraphQL - Frontend: React, JavaScript/TypeScript, HTML, CSS/SCSS, Redux, Ant Design - Data: PostgreSQL/MySQL, MongoDB, Redis, Snowflake - Infrastructure: GCP, Docker, Kubernetes, CI/CD - Other: OOP, Data Structures & Algorithms, Caching, WebSockets, Multi-tenant systems, real-time AI-assisted workflows - A self-starter and go-getter attitude for technology Your responsibilities at Level AI include, but are not limited to- - - Own end-to-end development of features and tools for Agent Assist workflows - Build web interfaces for real-time, customer-facing AI products - Turn designs and wireframes into production-ready full-stack code - Develop features using React and backend services such as Django and NestJS - Build reusable components and shared front-end libraries - Design and implement scalable APIs and service integrations - Integrate with cloud services and event-driven pipelines to support real-time assistance Requirements - - Education: B.E/B.Tech/M.E/M.Tech from Tier-1 engineering institutes, with relevant experience at a top technology company - Experience: 3-5 years of full-stack development - 2+ years of web application development - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Solid understanding of React and its ecosystem - Experience with backend frameworks such as Django, Node.js, or NestJS - Experience with relational databases such as PostgreSQL or MySQL - Experience with MongoDB or other NoSQL databases - Experience with Redis or similar caching systems - Strong product sense and ability to build reliable, user-focused enterprise applications Nice to Have: - Experience with GraphQL - Experience with Docker and Kubernetes - Experience with GCP services - Experience with Snowflake or other data warehouses - Experience with WebSockets and real-time features - Experience with multi-tenant or SaaS architectures - Experience building AI-enabled, agent-facing, or contact-center products

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Principal Machine Learning Engineer

Bengaluru, IN · Onsite · 1 month ago

Level AI is a Mountain View-based conversational intelligence company building the AI platform that powers modern contact centers. Our systems analyze millions of customer interactions to surface insights, automate quality assurance, and drive real-time agent guidance. We work at the frontier of applied speech and language AI, and our research directly shapes products used by enterprise customers every day. We are looking for a Principal AI Research Engineer to set the technical direction for our most ambitious AI initiatives. You will lead research on large language models, speech understanding, and retrieval systems—then translate that research into production capabilities at scale. This is a senior individual-contributor role for someone who thrives at the intersection of cutting-edge research and real-world deployment, and who can raise the technical bar across the entire AI organization. What You'll Do - Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and agentic systems. - Design, train, fine-tune, and evaluate state-of-the-art models, taking them from prototype to robust, production-grade systems. - Lead the architecture of scalable training and inference pipelines that operate reliably on real customer-scale data. - Establish rigorous evaluation frameworks, benchmarks, and quality bars for model performance, safety, and reliability. - Partner closely with product, platform, and ML engineering teams to ship research into customer-facing features. - Mentor senior and mid-level engineers, set technical standards, and act as a force multiplier across the AI org. - Stay ahead of the field, evaluate emerging techniques, and represent Level AI's technical work externally where appropriate. What You'll Bring - Degree in Computer Science, Machine Learning, or a related field, or equivalent research experience; typically 7+ years applying ML/AI in production settings. - Deep expertise in modern deep learning, with strong command of LLMs, transformers, and at least one of speech/ASR, NLP, information retrieval, or multimodal modeling. - A track record of taking research from idea to deployed, scaled product—not just publications, but shipped impact. - Expert-level proficiency in Python and a major deep learning framework (PyTorch preferred), with strong software engineering fundamentals. - Hands-on experience training and serving large models, including distributed training, optimization, and efficient inference. - Demonstrated technical leadership: setting direction, mentoring engineers, and influencing across teams. - Clear communicator able to convey complex technical ideas to both research and product audiences. Nice to Have - Experience in conversational AI, contact center, or speech analytics domains. - Publications at top-tier venues (NeurIPS, ICML, ACL, EMNLP, Interspeech) or significant open-source contributions. - Experience with agentic frameworks, tool use, and orchestration of LLM-based systems. - Familiarity with model safety, alignment, and responsible AI evaluation. Why Level AI - Work on AI problems that ship to real enterprise customers at scale, with measurable impact. - Join a small, high-caliber team where your technical decisions shape the product and the org. - Competitive compensation, meaningful equity, and comprehensive benefits. - A culture that values research depth and pragmatic, production-focused execution in equal measure. Level AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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