Job Summary

We are seeking an experienced Lead Engineer – Generative AI & Agentic Systems to design, develop, and deploy production-grade generative AI solutions and intelligent agentic applications. The ideal candidate will bring a strong background in Python, deep learning, large language models (LLMs), and Data Science/Data Engineering, with a proven track record of deploying at least three GenAI/Agentic AI projects into production.

As part of EXL’s Digital AI R&D Innovation team, you will lead initiatives leveraging frameworks such as LangGraph, AutoGen, and LangChain to build multi-agent workflows, orchestrate intelligent systems, and deliver scalable APIs. You will mentor engineers, drive technical strategy, and collaborate across business units to support diverse enterprise GenAI use cases.

Key Responsibilities

• Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.

• Architect and optimize scalable APIs (REST/WebSocket) for production deployment.

• Develop, fine-tune, and integrate large language models into enterprise applications.

• Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.

• Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB.

• Implement graph databases (Neo4j) for knowledge graph-based use cases.

• Provide technical leadership and mentorship to engineering teams.

• Collaborate with cross-functional stakeholders to identify and deliver GenAI solutions across multiple business domains.

• Ensure robustness, security, and compliance of deployed AI systems.

• Stay current with trends in GenAI, deep learning, and orchestration frameworks.

• Document and present technical solutions to both technical and non-technical audiences.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field.

• 7+ years of total professional experience in AI/ML, Data Science, or related fields.

• 5+ years of hands-on experience in Python with strong software engineering practices.

• At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.

• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).

• Expertise in large language models (LLMs), prompt engineering, and fine-tuning.

• Proven track record of deploying at least 3 GenAI/Agentic AI projects into production.

• Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.

• Practical knowledge of SQL, No-SQL, vector databases, and graph databases.

Mandatory skills:

• Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks.

• Experience with multi-agent systems and orchestration of intelligent workflows.

• Knowledge of MLOps practices (CI/CD, model monitoring, retraining pipelines).

• Strong problem-solving skills and ability to thrive in fast-paced R&D environments.

• Contributions to open-source AI/ML projects or published research in generative AI.

• Strong in Python coding

• Good experience in LLM, Gen Ai.

What We Offer

• Competitive salary/compensation.

• Health, dental, and vision insurance.

• Paid time off and holidays.

• Professional development opportunities.

• Flexible working hours, remote work options, and wellness programs.

• Opportunity to lead cutting-edge agentic AI innovations with global impact.

• Collaborative environment with industry-leading experts in AI/ML.

• Exposure to real-world enterprise GenAI use cases across multiple domains.

• A culture of continuous learning, leadership, and innovation.