Forward Deployed AI Engineer
ADATAGROUP | Singapore | On-site
The Role
We are looking for a hands-on Forward Deployed AI Engineer to build, deploy and continuously improve the AI capabilities powering our trade-tech platform.
This role combines AI engineering, solution development and direct client engagement. You will work closely with technical leadership, clients and operations teams to understand real-world trade challenges, translate business requirements into technical solutions, and deliver reliable AI-powered workflows into production.
You will take ownership of solutions from requirements gathering and proof-of-concept (POC) development through implementation, deployment and ongoing optimisation.
As part of a small, high-impact team, you will work across document intelligence, customs automation, trade compliance and agentic AI workflows, with direct responsibility for delivering solutions that create measurable operational value.
Key Responsibilities
AI Development & Engineering
- Design, develop and deploy LLM-powered applications and agentic AI workflows.
- Build and optimise document intelligence solutions for extracting structured data from invoices, bills of lading, customs forms and shipping instructions.
- Develop and maintain Python/FastAPI backend services and integrate external APIs.
- Improve the accuracy, reliability and performance of AI solutions in production.
- Evaluate emerging AI models, tools and frameworks for practical business applications.
Forward Deployment & Client Solutions
- Engage directly with clients and operations teams to understand workflows, business requirements and operational challenges.
- Translate business needs into technical specifications, solution designs and working prototypes.
- Develop POCs, validate solutions with users and deploy AI capabilities into live client environments.
- Troubleshoot production issues, refine workflows and continuously improve deployed solutions based on client feedback.
- Bridge communication between technical teams and non-technical stakeholders to ensure solutions meet business objectives.
Project Ownership & Delivery
- Take ownership of technical deliverables from initial requirements through deployment and post-implementation support.
- Coordinate with internal teams and external stakeholders to ensure timely and effective delivery.
- Manage competing priorities in a fast-moving startup environment.
- Communicate project progress, technical trade-offs, risks and blockers clearly.
- Contribute to technical architecture, code reviews, testing and engineering best practices.
Requirements
Must Have
- 3+ years of professional software development experience, including hands-on AI/ML or LLM application development.
- Strong Python programming skills and experience building production-grade applications.
- Experience working with LLM APIs such as OpenAI, Anthropic or Google Gemini.
- Experience developing REST APIs using FastAPI, Flask, Django or similar frameworks.
- Ability to understand business requirements and translate them into practical technical solutions.
- Experience working with multiple stakeholders, including business users, clients or operations teams.
- Strong problem-solving skills and ability to independently manage technical deliverables.
- Good communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Comfortable working directly with clients in a fast-paced startup environment.
- Must have the legal right to work in Singapore. Work pass sponsorship is not available.
Strongly Preferred
- Experience deploying AI or software solutions into production environments.
- Hands-on experience with intelligent document processing, OCR, PDF parsing or structured data extraction.
- Experience developing agentic AI systems involving tool calling, multi-step workflows or orchestration.
- Experience gathering requirements, developing POCs and implementing client-specific solutions.
- Experience managing technical projects or coordinating delivery across multiple stakeholders.
Nice to Have
- Experience with LangChain, LlamaIndex, Google ADK or similar agentic AI frameworks.
- Knowledge of RAG, embeddings and vector databases.
- Experience with PostgreSQL, Docker, AWS and CI/CD pipelines.
- Background in logistics, freight forwarding, customs, supply chain or trade compliance.
- Experience with React, Next.js or TypeScript.
- Prior experience in a startup, consulting or forward-deployed engineering environment.
What We Value
We are looking for someone who:
- Builds, not just coordinates — Is comfortable writing code, troubleshooting and delivering working solutions.
- Understands business needs — Can identify operational challenges and translate them into practical AI applications.
- Owns delivery — Takes responsibility from initial discussion through deployment and ongoing improvement.
- Communicates effectively — Can engage confidently with both technical and non-technical stakeholders.
- Thinks pragmatically — Prioritises reliable, maintainable solutions over unnecessary complexity.
- Thrives in a startup — Is adaptable, resourceful and comfortable handling both technical and client-facing responsibilities.