23 days ago
Gurgaon, IndiaMid Level / Senior
Responsibilities
- Design and implement agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.
- Architect and optimize scalable REST and WebSocket APIs for production deployment.
- Develop, fine-tune, integrate, and deploy large language models in enterprise applications.
- Deploy and maintain at least three GenAI or agentic AI projects in production.
- Integrate SQL, NoSQL, vector, and graph databases for AI and knowledge-graph use cases.
- Apply MLOps practices including model monitoring and retraining pipelines.
- Provide technical leadership and mentorship to engineering teams.
- Collaborate with cross-functional stakeholders to deliver GenAI solutions across business domains.
- Ensure deployed AI systems are robust, secure, scalable, performant, and compliant.
- Document and present technical solutions to technical and non-technical audiences.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, Engineering, or a related field.
- At least 3 years of professional experience in AI/ML, Data Science, or related fields.
- At least 3 years of hands-on Python experience with strong software engineering practices.
- At least 3 years of AI/ML engineering experience, including at least 2 years in Generative AI or agentic AI.
- Hands-on experience with PyTorch and TensorFlow.
- Expertise in large language models, prompt engineering, and fine-tuning.
- A proven record of deploying at least three GenAI or agentic AI projects into production.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.
- Practical knowledge of SQL, NoSQL, vector databases, and graph databases.
- Experience with multi-agent systems, intelligent workflow orchestration, and MLOps practices.
- Open-source AI/ML contributions or published generative AI research are additional qualifications.
Tech Stack
Categories
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).