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 settings 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)

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