AI Specialist

This is a 3-year fixed term contract for placement in Singapore, and only open to SG/PR candidates.

Key Responsibilities:

1. Solution Development & Deployment

• Build and deploy machine learning and LLM-powered applications, agentic workflows and automation pipelines.
• Develop rapid prototypes to validate use cases before full build investment.
• Integrate AI capabilities into enterprise systems via APIs and middleware.
• Convert validated prototypes into maintainable, production-ready components, services or applications.
• Own the full development lifecycle for assigned solutions (design, build, test, deploy, monitor).

2. Machine Learning Engineering & MLOps

• Develop, test, deploy and support machine learning models for approved business and technical use cases.
• Apply MLOps practices including model versioning, experiment tracking, deployment, monitoring and retraining.
• Support feature engineering, model validation and performance testing using appropriate datasets and metrics.
• Monitor model performance, reliability and drift, escalating risks or improvement needs where required.
• Document model assumptions, limitations, evaluation results and operational requirements.

3. LLM & Agentic Engineering

• Implement prompt engineering strategies and orchestration workflows.
• Build Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases and document stores.
• Implement tool use/function calling and orchestration frameworks as per approved standards.
• Evaluate and benchmark model outputs for accuracy, safety and business relevance.

4. Automation & Integration

• Build intelligent automation workflows connecting AI models to enterprise platforms (ERP, CRM, ITSM).
• Develop APIs and microservices that expose AI capabilities to internal applications.
• Implement monitoring, logging and alerting for deployed AI solutions.
• Optimise solutions for latency, cost and reliability in production environments.

5. Collaboration & Documentation

• Work with the AI Architect to build within agreed standards and patterns.
• Partner with data engineering on data inputs and evaluation sets.
• Support enablement sessions with demos and documentation.
• Document solutions for maintainability and knowledge transfer.
• Share reusable components, lessons learned and technical documentation to support alignment across APAC and wider enterprise teams.

Requirements:

Education: Tertiary institution/ bachelor’s degree (IT, Computer Science, Engineering, Data/AI, or equivalent experience)

Working experience: 3-5 years

• Experience in software engineering with at least 2 years focused on AI/ML or LLM application development
• Strong Python proficiency — FastAPI, async programming, data manipulation
• Hands-on experience with LLM frameworks: LangChain, LlamaIndex
• Experience building and deploying RAG systems and vector database integrations
• API development and enterprise system integration experience
• Experience with agentic frameworks: AutoGen, CrewAI, LangGraph
• Familiarity with multiple frontier model APIs (OpenAI, Anthropic, Google, open-source via HuggingFace)
• Exposure to ML model training, MLOps practices and fine-tuning workflows
• Technical skills: includes Copilot 365, Copilot Studio, Github Copilot

Management experience: 0-1 years

• Exposure to collaborative projects and agile delivery.
• AI & IT expertise: Proven experience contributing to AI, data-driven platform, automation or IT transformation initiatives through hands-on technical design, engineering, implementation and support.

How to apply:

Please include your latest resume in the application.

We regret to inform this position is open only to SG/PR

We regret to inform that we will only process applications made via our Careers website (and other linked portals) and only shortlisted applicants will be contacted.

Disclaimer for recruitment agencies:

Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated.