Face to Face Interview on 22nd August at Bengaluru(Yeshwantpur)
Role Summary
We are looking for a Generative AI / Machine Learning Developer with hands-on experience building enterprise-grade AI applications using LLMs, RAG, AI Agents, Prompt Engineering, Python, and MLOps. The ideal candidate should have experience developing production-ready AI solutions using contemporary GenAI frameworks and cloud platforms.
Key Responsibilities
- Develop and deploy GenAI applications using LLMs and Agentic AI frameworks.
- Design and implement Retrieval-Augmented Generation (RAG) solutions.
- Build AI agents and workflow automation using LangChain, LangGraph, CrewAI, or similar frameworks.
- Integrate OpenAI, Gemini, Claude, Llama, or other foundation models into enterprise applications.
- Develop vector search and semantic search solutions using vector databases.
- Fine-tune, evaluate, and optimize LLM responses through Prompt Engineering.
- Build scalable APIs and AI services using Python and FastAPI.
- Implement MLOps practices including CI/CD, monitoring, and model lifecycle management.
- Collaborate with Data Scientists, ML Engineers, and business stakeholders to deliver AI-driven solutions.