Full Stack AI Engineer

Overview: We are seeking a Senior AI Engineer to serve as an embedded technical expert within a client's engineering team. You will be a key member of the team developing and optimizing advanced, AI-driven solutions. This role requires a blend of critical thinking and hands-on development skills to build modular systems that leverage state management, workflow orchestration, and large language models (LLMs) to modernize complex software systems. Required Skills - AI Development and workflow design LangGraph LangChain RAG & Vector Operations Job Duties - Agentic & Workflow Engineering: Design and implement modular systems using LangGraph and LangChain to manage state, configuration, and complex workflow orchestration. Code Modernization: Design AI workflows for reverse and forward engineering, including code analysis, summarization, and dependency transformation. RAG & Vector Operations: Build 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 Management: Manage 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.