AI Specialist

Fugro; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Fugro is seeking a software engineer with 3–5 years of AI/ML/LLM experience to build and deploy machine learning powered applications. You will own the development lifecycle, integrate AI into ERP/CRM/ITSM platforms, and implement MLOps practices.

Ideal candidates have strong Python (FastAPI), hands-on with LangChain/LlamaIndex, and experience building RAG systems and vector databases. Singapore-based, 3-year fixed-term contract.

Qualifications

• Education: Bachelor’s degree in IT, CS, Engineering, Data/AI or equivalent.
• 3–5 years working experience in software engineering with at least 2 years AI/ML or LLM app dev.
• Strong Python skills including FastAPI and async programming.
• Hands-on with LLM frameworks LangChain, LlamaIndex; building and deploying RAG systems.
• API development and enterprise system integration experience.
• Exposure to MLOps practices and fine-tuning workflows.

Responsibilities

• Build and deploy ML/LLM powered applications, agentic workflows, and automation pipelines.
• Develop rapid prototypes to validate use cases before full build.
• Integrate AI capabilities into enterprise systems via APIs/middleware.
• Own full development lifecycle from design to monitoring.
• Develop and support ML models for approved use cases.
• Apply MLOps including versioning, deployment, monitoring and retraining.
• Document solutions and share reusable components across teams.

Skills

Python proficiency

FastAPI

LLM frameworks LangChain

LangGraph

OpenAI/Anthropic APIs

MLOps basics

Copilot tools

Education

Bachelor’s degree (IT/CS/Engineering/Data/AI)

Tools

LangChain

LlamaIndex

AutoGen

CrewAI

HuggingFace

GitHub Copilot

Job description

Job Description

Do you want to join our geo‑data revolution? Fugro’s global reach and unique know‑how will put the world at your fingertips. Our love of exploration and technical expertise help us to provide our clients with invaluable insights. We source and make sense of the most relevant geo‑data for their needs, so they can design, build and operate their assets more safely, sustainably and efficiently. But we’re always looking for new talent to take the next step with us. For bright minds who enjoy meaningful work and want to push our pioneering spirit further and who can take the initiative but work well within a team.

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

Key Responsibilities

• 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).
• 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.
• 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.
• 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.
• 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.