Description

You will engineer core AI systems and workflows.

Responsibilities

• Design and implement modular Python systems using LangGraph and LangChain to manage state, configuration, and complex workflow orchestration.
• Design AI workflows for reverse and forward engineering, including code analysis, summarization, and dependency transformation.
• Build and maintain high-performance Retrieval-Augmented Generation (RAG) pipelines and database operations for storing dependency matrices and workflow results.
• Integrate and optimize various LLMs (e.g., Gemini, Claude, GPT-4, Vertex AI) for code analysis and automated generation.
• Manage data persistence using PostgreSQL with the pgvector extension, including schema management and efficient similarity searches.

Required Skills

• 5+ years of professional experience
• Bachelor's degree
• Proficiency with LLMs
• Experience with PostgreSQL and pgvector
• Experience with Java
• Experience with React
• Ability to work with AI/ML frameworks like LangChain and LangGraph

Preferred Skills

• Experience with Knowledge Graphs
• Prior experience in insurance, finance, or regulated enterprise environments

Key Skills

Education

Bachelor's degree