jobs in MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD Hiring! Full Time AI Developer l Contract in Central Region (Singapore), Earn up to SGD 7,000 - Ricebowl

AI Developer l Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

SGD7,000 - SGD7,000 Per Month

Central Region (Singapore)

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Working Location

  • 1 WALLICH STREET Central Region (Singapore) Singapore

Job Description

Responsibilities

Responsibilities:

  • Take ownership of an existing AI-powered application through structured knowledge transfer, including understanding and documenting architecture, codebase, and integrations
  • Provide ongoing application support including bug fixing, enhancements, incident resolution, performance tuning, and stability improvements
  • Design, develop, and deploy end-to-end AI applications using LLMs, RAG, and agentic frameworks
  • Build MCP-based tool integrations and agentic workflows to connect AI solutions with enterprise systems and processes
  • Translate business requirements into scalable AI-powered solutions with robust backend and frontend design
  • Develop and integrate APIs, application logic, and user-facing features for AI-driven use cases
  • Implement monitoring, observability, and evaluation mechanisms for AI models, prompts, and agent behavior
  • Collaborate with cross-functional stakeholders to deliver production-ready solutions aligned with business outcomes
  • Contribute to application design, code quality, testing, CI/CD, and engineering best practices

Requirements

  • Bachelor’s degree in Computer Science or a related discipline
  • Minimum 2 years of experience in full stack software engineering with production application exposure
  • Proven experience building AI agents or multi-agent systems using frameworks like LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI
  • Hands-on experience with LLMs, RAG architectures, agentic design patterns, and deploying generative AI applications
  • Familiarity with MCP integrations, AI guardrails, application evaluation, and LLMOps practices
  • Understanding of prompt engineering, model evaluation, AI observability tools (e.g., LangSmith), and responsible AI
  • Solid software engineering skills including clean code, testing, design patterns, REST APIs, CI/CD, and containerization
  • Proficiency in Python, TypeScript, React / Next.js, and Tailwind CSS
  • Experience with relational and NoSQL databases, including schema design and query optimization
  • Familiarity with vector databases and semantic search for RAG applications
  • Hands-on experience with AWS services such as Lambda, API Gateway, S3, CloudWatch, and IAM
  • Experience with AWS Bedrock, including foundation models, Knowledge Bases, Agents, and Guardrails

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