About the role
- Build Agentic AI solutions using LangChain, LangGraph, CrewAI, AutoGen, etc.
- Develop multi-agent systems, RAG pipelines, and AI-powered applications.
- Integrate LLMs (GPT, Gemini, Llama) with APIs, databases, and enterprise systems.
- Design scalable AI workflows, retrieval systems, and enterprise integrations.
- Monitor, optimize, and deploy AI solutions for performance and reliability.
- Collaborate with stakeholders and prepare technical documentation.
Required Skills:
- Bachelor's degree in Computer Science, AI, Data Science, or related field.
- Hands-on experience with LLMs, Generative AI, RAG, embeddings, and vector search.
- Strong Python programming and API integration skills.
- Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Knowledge of cloud platforms and scalable AI architecture design.
Good to Have:
- Experience with vector databases (Pinecone, Chroma, Weaviate, pgvector).
- Exposure to MLOps, AI monitoring, and observability tools.
- Experience in enterprise software delivery and client-facing projects.