Agentic AI Engineer- onshore (backfill)

Required Skills: This role requires a blend of critical thinking and hands-on development skills to build modular Python systems that leverage state management, workflow orchestration, and large language models (LLMs) to modernize complex software systems.

Job Duties: Agentic & Workflow Engineering: Design and implement modular Python systems using LangGraph and LangChain to manage state, configuration, and complex workflow orchestration. Code ModernizationDesign AI workflows for reverse and forward engineering, including code analysis, summarization, and dependency transformation. RAG & Vector OperationsBuild and maintain high-performance Retrieval-Augmented Generation (RAG) pipelines and database operations for storing dependency matrices and workflow results. Multi-LLM Integration: Integrate and optimize various LLMs (e.g., Gemini, Claude, GPT-4, Vertex AI) for code analysis and automated generation. Database ManagementManage data persistence using PostgreSQL with the pgvector extension, including schema management and efficient similarity searches. Robust Tooling: Develop utilities for file handling, model operations, and ensuring robust logging and error handling across applications.

Desired Skills: Preferred Pluses: * Experience with Knowledge Graphs. Familiarity with Java and React tech stacks for cross-language workflows. Prior experience in insurance, finance, or regulated enterprise environments.