AI Full Stack Engineer | Contract

Job Responsibilities
Chatbook Application Maintenance

• 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.

AI Application Development and Integration

• Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks.
• Build MCP-based tool 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 Qualifications

• Degree in Computer Science, Information Systems, Engineering, or a related discipline with 2 or more years experience in building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with a solid understanding of agentic design patterns including planning, tool use, memory, and reflection.
• Working experience with MCP-based tool integrations and maintaining GenAI and agentic applications in production environments, including guardrail implementation and application evaluation.
• Knowledge of LLMOps practices, including prompt management, model evaluation, LLM observability tools (e.g. LangSmith), AI governance, and responsible AI principles.
• Solid fundamentals encompassing clean code, design patterns, testing, REST API development, containerisation, container orchestration, and CI/CD pipelines.
• Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS.
• Proficiency in relational and NoSQL databases covering query optimisation, schema design, and data management, with familiarity with vector databases for RAG and semantic search.
• Working experience with AWS cloud platform including serverless services (Lambda, API Gateway), storage (S3), monitoring (CloudWatch), and access management (IAM)
• Hands-on experience with AWS Bedrock to access and orchestrate foundation models such as Anthropic Claude, including features such as Knowledge Bases, Agents, and Guardrails for production-grade generative AI applications.
• Experience developing and deploying applications on Government Commercial Cloud (GCC) is advantageous.

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