About the job

• Responsibilities:Build and maintain LLM based pipelines for processing customer requests
• Design and implement data ingestion and preprocessing pipelines (emails, PDFs, images, etc.)
• Develop classification and routing logic for customer inquiries
• Apply prompt engineering and continuously improve model outputs
• Implement structured outputs and human-in-the-loop (HITL) workflows
• Ensure production readiness (testing, CI/CD, containerization)
• Contribute to AI system architecture and scalability
• Monitor and improve model performance using LLM observability tools
• Collaborate across teams to integrate AI solutions into existing workflows

• Requirements:Strong experience with Python (production-grade)
• Hands-on with FastAPI and async programming patterns
• Experience building LLM pipelines (OpenAI SDK, LangChain, LangGraph, or similar)
• Solid prompt engineering experience
• Familiarity with structured outputs and LLM evaluation approaches
• Experience with Docker, CI/CD, and testing practices
• Background in data engineering (pipelines, preprocessing, working with unstructured data)
• Experience with PostgreSQL and REST/event driven APIs
• Hands-on use of AI coding tools (GitHub Copilot, Codex, Claude Code, or similar)
• Nice to have: Experience with scalable AI platforms, Azure services, event-driven architectures, and Infrastructure as Code.

AI and Generative AI Engineer with over two years of experience designing, building, and deploying production-grade Large Language Model systems, AI agents, and Retrieval-Augmented Generation pipelines. Skilled in LangChain, LangGraph, Hugging Face, FastAPI, and multi-agent architectures, having delivered 4+ production applications while reducing AI workflow latency by approximately 30 percent and improving accuracy by approximately 35 percent. Brings strong enterprise engineering discipline from Accenture, having supported 25 or more projects with up to 80 percent process automation, combined with a solid foundation in deep learning, vector search, and cloud-based deployment. Holds a Master of Science in Applied Artificial Intelligence from Cranfield University, United Kingdom, and is available to join immediately.