We are looking for a Lead AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions leveraging Agentic AI, LLMs, Generative AI, and Machine Learning. You will build scalable AI systems, intelligent agents, and production-ready ML solutions that drive business impact.

Key Responsibilities :

- Design and develop Agentic AI and multi-agent systems.

- Build AI applications using LLMs, LangChain, LangGraph, AutoGen, Google ADK, and similar frameworks.

- Develop MCP-based AI infrastructure and integrate AI agents with APIs and enterprise systems.

- Build, fine-tune, and deploy ML/Deep Learning models using PyTorch and TensorFlow.

- Develop multimodal AI pipelines for text, image, and structured data.

- Implement Human-in-the-Loop workflows (RLHF, feedback loops).

- Deploy and monitor AI models in production.

- Follow engineering best practices, CI/CD, testing, and code reviews.

Required Skills :

- 4 to 7 years of experience in AI/ML Engineering.

- Strong Python programming skills.

- Hands-on experience with LLMs, Agentic AI, and Generative AI.

- Strong understanding of ML/DL concepts and production model deployment.

- Experience with LangChain, LangGraph, AutoGen, Google ADK, or similar frameworks.

- Knowledge of MCP (Model Context Protocol), LLMOps/MLOps, Git, CI/CD, and cloud platforms (AWS/Azure/GCP).

Good to Have :

- Multi-Agent Systems.

- RLHF.

- Prompt Engineering.

- RAG.

- Vector Databases.

- Cloud-native AI deployments.

- FinTech domain experience.

Education : Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or a related field.