AI Engineer | Contract

Job scopes Maintain and evolve the existing Chatbook application, ensuring stability, performance, and continuity of service. Design and build new AI solutions leveraging LLMs, retrieval-augmented generation (RAG), and agentic frameworks. Collaborate with Project Managers, Solution Architects, and business stakeholders to deliver production-grade AI applications on AWS. Take over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrations. Perform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolution. Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks. Build MCP-based integrations and agentic pipelines for enterprise system connectivity. Implement monitoring and observability for AI model performance and agentic behaviour. Translate business and stakeholder requirements into robust, AI-powered solutions. Job Requirements Bachelor’s degree in Computer Science or a related discipline Working experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with good knowledge of agentic design patterns (planning, tool use, memory, reflection). Experience with MCP-based integrations and maintaining GenAI/agentic applications in production, including guardrail implementation and application evaluation. Knowledge of LLMOps practices — prompt management, model evaluation, observability tools (e.g., LangSmith), AI governance, and responsible AI principles. Good fundamentals in clean code, design patterns, testing, REST API development, containerisation, orchestration, and CI/CD pipelines. Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS. Proficiency in relational and NoSQL databases, with familiarity in vector databases for semantic search. Experience with AWS cloud services including Lambda, API Gateway, S3, CloudWatch, and IAM…