AI Full Stack Engineer - Contract

About the role

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. We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with carolyn.mendoza@manpower.com.sg | Personnel Reg No.: R1105160 | EA License: 02C3423 Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

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