Role & responsibilities
- Solid Python skills with experience in AI frameworks (LangChain, Transformers, OpenAI SDK, LLaMA APIs)
- Hands-on experience with RAG pipelines, embeddings, and prompt design
- Familiarity with Knowledge Graphs (Apache Jena, SPARQL)
- Experience with Vector Databases (Pinecone, Chroma, etc.)
- Knowledge of embedding models (OpenAI Ada, Cohere, BGE/E5) and reranking techniques
- Experience building microservices (FastAPI, Flask)
- Exposure to multi-agent frameworks (LangGraph, CrewAI, AutoGen)
- Understanding of Model Context Protocol (MCP)
- Cloud experience with Azure (AKS, App Service, ACI) and DevOps tools
- Integration experience with enterprise platforms (Outlook, Teams, Salesforce)
- Design, develop, and deploy modular AI solutions using LLMs, RAG pipelines, and microservices
- Build scalable, reusable AI-in-a-Box” accelerators for enterprise use cases
- Develop APIs and AI agents for use cases such as summarization, Q&A;, and chatbot

Preferred candidate profile

📌 Artificial Intelligence Developer (Bengaluru)
🏢 PwC
📍 Bengaluru