Description

You will engineer core AI systems and workflows, focusing on orchestration, RAG pipelines, and LLM integration.

This role is on-site.

Responsibilities

• Design and implement modular Python systems using LangGraph and LangChain for state management and workflow orchestration.
• Develop 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 software engineering experience.
• Bachelor's degree in Computer Science or related field.
• Proficiency with LLMs and AI/ML frameworks like LangChain and LangGraph.
• Experience with PostgreSQL and pgvector for vector similarity searches.
• Strong proficiency in Java.
• Experience with React.

Preferred Skills

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

Key Skills

Education

Bachelor's degree