Job Description :Bachelor's degree with a minimum of 5 years of directly relevant work experience.Tech Stack & Skills :- Experience with LangChain, LangGraph, Semantic Kernel or AutoGen- RAG (Retrieval Augmented Generation)- Agentic AI observability- Databricks, Snowflake, or similar platforms- OpenAI- Manage LLMOps/MLOps practicesKey Responsibilities :- Design and implement scalable multi-agent services to automate complex decision-making processes for enterprise applications.- Develop and optimize Retrieval Augmented Generation (RAG) pipelines to improve the accuracy and relevance of AI-generated outputs.- Architect and maintain high-performance vector database integrations to ensure productive data retrieval and semantic search capabilities.- Collaborate with data engineering teams to leverage Databricks for large-scale data processing and model training workflows.- Integrate Large Language Models (LLMs) into production environments using LangChain and LangGraph to build resilient, stateful AI applications.- Monitor and refine model performance to ensure high reliability and low latency in production-grade AI services. (ref:hirist.tech)

📌 Fx31Labs - Software Development Engineer - Generative AI (Bengaluru)
🏢 Fractal31
📍 Bengaluru