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Open nowPosted 11 days ago

AI Engineer | Contract

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 7,000 a month
Where
Singapore
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Your applicationOpen nowAI Engineer | ContractMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 11 days ago

The posting

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

Interested candidates may send in their resume and cover letter directly to [email protected]

Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109

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