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 practices

Key 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 effective 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)
🏢 Fx31 Labs
📍 Bengaluru