About the role
Job Description: Lead / Assistant Manager – AI Engineer (Advanced Agentic AI)Location: Delhi NCRLevel: Lead / Assistant ManagerAbout EXL ServiceEXL Service is at the forefront of embedding AI into enterprise operations. We are scaling solutions like MiAI Call Simulator, AI Trainer, , and Transition AI Toolkit to drive measurable impact across Insurance, Healthcare, Banking, and Retail.We are seeking AI Engineers with strong full-stack development skills to design and build Advanced Agentic AI systems that orchestrate multi-step reasoning, integrate enterprise applications, and deliver next-generation AI-driven automation.Key ResponsibilitiesAI Engineering & DevelopmentDesign, develop, and deploy Agentic AI workflows using LLMs, orchestration frameworks (LangGraph, LangChain, Semantic Kernel), and advanced prompting strategies.Build scalable full-stack applications integrating AI agents with enterprise platforms (ServiceNow, Salesforce, Jira, custom APIs).Develop self-healing automations, API connectors, and middleware to enable seamless human-AI collaboration.Architecture & Systems IntegrationArchitect end-to-end AI solutions covering data ingestion, model orchestration, microservices, and UI layers.Leverage cloud-native infrastructure (Azure OpenAI, AWS Bedrock, GCP Vertex AI) to build secure and compliant AI systems.Ensure AI agents adhere to governance, auditability, and compliance frameworks (GDPR, HIPAA, PCI-DSS).Product & InnovationCollaborate with Product Managers to translate business requirements into AI-first features.Prototype, test, and optimize Agentic AI capabilities for enterprise-scale adoption.Contribute to EXL’s AI Innovation labs with cutting-edge solutions in conversational AI, simulation, and process automation.Team & DeliveryMentor junior engineers in AI frameworks and full-stack practices.Drive Agile ceremonies, ensure backlog delivery, and maintain production-ready AI deployments.Partner with cross-functional teams (SMEs, designers, DevOps, QA) to ensure quality and scalability.Required Skills & ExperienceCore AI/ML Skills5–8 years of experience in software engineering / AI engineering.Strong experience in building Agentic AI solutions with LLM orchestration (LangChain, LangGraph, AutoGen, Semantic Kernel).Hands-on with RAG (Retrieval Augmented Generation), fine-tuning, and multi-agent orchestration.Exposure to voice / conversational AI (Azure Cognitive Services, Twilio, Dialogflow, etc.) a plus.Full-Stack DevelopmentStrong in JavaScript/TypeScript, React/Next.js, Node.js, Python.Proficiency in REST / GraphQL APIs, microservices, containerization (Docker, Kubernetes).Strong knowledge of databases (SQL/NoSQL, vector DBs like Pinecone, Weaviate, Chroma).Cloud & DevOpsExperience with Azure (preferred), AWS, or GCP AI services.Knowledge of CI/CD, MLOps pipelines, and monitoring tools.Familiarity with security practices (OAuth2.0, JWT, API security, data encryption).Soft SkillsStrong problem-solving with system-level thinking.Ability to work in agile squads and deliver in fast-paced environments.Good communication and ability to collaborate with product/business teams.Preferred / Good-to-HaveExposure to Agent simulation environments for training and testing (e.g., CrewAI, OpenAI Swarm).Experience with GenAI integrations in enterprise L&D, Customer Service, or Operations platforms.Contributions to open-source AI frameworks.Certifications: Azure AI Engineer Associate, TensorFlow Developer, or equivalent.