• 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.

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.

Responsibilities
Coordinate team tasks, assist in project management, handle customer inquiries, and prepare reports.

Qualifications

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

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

• 3+ 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.

• Hand

📌 Assistant Manager (Pune)
🏢 EXL
📍 Pune