Job Description

Role : Home Connect GenAI Use Case developer

Experience : More than 5 Years


Core Tasks & Responsibilities

  • Develop autonomous agents using frameworks like LangGraph, AutoGen or CrewAI
  • Build and optimize RAG pipelines. Retrieve information from diverse data types stored in vector databases
  • Instrument applications using Langfuse to monitor agent traces, debug complex chains, and run A/B tests on prompt performance.
  • Integrate provision to switch between latest LLM models
  • Design system for \"Function Calling\" capabilities


Technical Skills & Qualifications

  • Proficiency in LangChain or LlamaIndex. Including building stateful, multi-agent systems.
  • Deep experience with Qdrant. Including high-performance similarity search, filtering, payload management, and collection sharding.
  • Proven experience working with Gemini for vision-to-text analysis and/or Azure OpenAI (GPT models) for reasoning and text generation.
  • Agentic RAG techniques. Including query rewriting, LoRA and reranking
  • API development experience – Authentication, Server Caching
  • Python skills and experience with building and deploying services
  • Familiarity with tools for LLM monitoring, cost tracking, and hallucination detection

Apply for this Position

Ready to join ? Click the button below to submit your application.

Submit Application