Call Quest Solution is seeking a Senior AI Engineer to join a client engineering team as an embedded technical expert, driving the development of advanced AI-powered solutions. This role focuses on building modular, scalable systems leveraging workflow orchestration, state management, and Large Language Models (LLMs) to modernize complex software environments.
Responsibilities:
- Design and implement agentic AI workflows using LangGraph and LangChain
- Build modular systems supporting state management and complex workflow orchestration
- Develop AI-driven solutions for code modernization, including analysis, summarization, and transformation
- Design and maintain high-performance RAG pipelines and vector-based data operations
- Integrate and optimize multiple LLM platforms (GPT-4, Claude, Gemini, Vertex AI, etc.)
- Manage data persistence and similarity search using PostgreSQL with pgvector
- Develop utilities for file processing, model operations, logging, and error handling
- Ensure scalable, reliable, and production-ready AI applications
- Collaborate closely with engineering teams to modernize legacy systems through AI automation
Requirements:
- Strong hands-on experience in AI development and workflow design
- Expertise with LangGraph and LangChain
- Experience building RAG architectures and vector database solutions
- Multi-LLM integration and optimization experience
- Strong Python development skills
- Experience with PostgreSQL and vector extensions (pgvector)
- Understanding of software architecture and modular system design
- Experience with cloud AI platforms (Vertex AI, Azure AI, AWS AI services)
- Knowledge of code analysis, refactoring, or modernization workflows
- Familiarity with prompt engineering and agent-based systems
- Experience building scalable AI systems in production environments