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.
- Hands-on experience with AWS Bedrock to orchestrate foundation models such as Anthropic Claude, including Knowledge Bases, Agents, and Guardrails.
- Experience developing and deploying applications on Government Commercial Cloud
Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547
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