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
- 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.