Senior AI Developer

Senior AI Developer

About ADATAGROUP

ADATAGROUP is a Singapore-based trade-tech company building AI-powered solutions that modernise cross-border trade across Asia-Pacific.

Our platform helps freight forwarders and customs declaring agents automate complex trade and documentation workflows, processing thousands of shipments across the trade lifecycle.

We are a small, high-impact team where engineers have direct ownership of what they build and work closely with technical leadership on AI solutions already in production.

The Role

We are looking for a Senior AI Developer to take ownership of and advance the AI capabilities powering our trade-tech platform.

This is a hands-on engineering role. You will design, build, improve, and deploy LLM-powered systems that process real freight and customs documents for live clients every day.

As a key AI engineer on the team, you will work across document intelligence, customs automation, and trade compliance — from improving extraction accuracy on complex trade documents to developing agentic workflows for customs permit automation and integrating real-time shipment intelligence.

Key Responsibilities

AI Development

• Design, build, and optimise AI capabilities across document intelligence, customs automation, tariff classification, and trade compliance
• Build and refine agentic AI workflows for end-to-end trade automation
• Improve structured data extraction from complex trade documents, including invoices, customs forms, bills of lading, and shipping instructions
• Evaluate and integrate new AI models, APIs, and techniques as the technology evolves
• Monitor and improve the accuracy, reliability, and performance of production AI systems

Platform Engineering

• Develop and maintain Python/FastAPI backend services powering the AI platform
• Build scalable batch-processing capabilities for high-volume document ingestion
• Integrate external APIs and data sources to enrich platform intelligence
• Design validation and quality-assurance pipelines for production AI outputs
• Write clean, maintainable, well-tested code with appropriate automated test coverage

Collaboration & Ownership

• Work closely with technical leadership on architecture, AI strategy, and product direction
• Own technical problems from investigation through deployment and production improvement
• Triage and resolve client-reported issues together with the operations team
• Participate in code reviews and contribute to engineering best practices
• Communicate progress, trade-offs, and blockers clearly to both technical and non-technical stakeholders

Requirements

Must Have

• 3+ years of professional software development experience, including at least 1–2 years working with AI/ML or LLM-based applications
• Strong Python proficiency and experience writing production-grade software
• Hands-on experience with LLM APIs such as OpenAI, Anthropic, Google Gemini, or similar, including prompt engineering, function/tool calling, and structured outputs
• Experience building REST APIs using FastAPI, Flask, Django, or similar frameworks
• Experience extracting structured information from unstructured or semi-structured data such as documents, PDFs, web content, or OCR output
• Ability to work independently in a small, fast-moving team with a high level of ownership
• Must already have the legal right to work in Singapore. Work pass sponsorship is not available for this role.

Strongly Preferred

• Experience with intelligent document processing, including PDF parsing, OCR, and extraction from complex multi-format business documents
• Hands-on experience designing agentic AI systems involving multi-step workflows, tool use, orchestration, or reasoning

Nice to Have

• Experience with agentic AI frameworks such as LangChain, LlamaIndex, Google ADK, or similar
• Experience with vector databases, embeddings, and RAG architectures
• Experience with PostgreSQL, cloud object storage, Docker, and AWS
• Background in freight forwarding, logistics, customs, trade compliance, or supply chain
• Experience with HS code classification, permit automation, or regulatory workflows
• Familiarity with React, Next.js, or TypeScript for occasional frontend collaboration
• Contributions to open-source AI/ML projects

What We Value

We are looking for someone who:

• Is a pragmatic problem-solver who prioritises working solutions over unnecessary complexity
• Is comfortable working with ambiguity and messy real-world data
• Keeps up with developments in AI and actively experiments with new approaches
• Takes ownership of outcomes, not just assigned code
• Can balance speed of execution with the reliability required for production systems

Tech Stack

AI/LLM: OpenAI, Anthropic, Google and other LLM APIs, agentic frameworks, prompt engineering

Backend: Python, FastAPI, PostgreSQL

Document Intelligence: PDF parsing, OCR, structured extraction

Infrastructure: AWS, object storage, Docker

Frontend: Next.js, React, TypeScript

Engineering: Git, GitHub, CI/CD

Why Join ADATAGROUP?

AI-first engineering culture — Work directly with technical leadership that actively builds with AI. You will have the freedom to evaluate new models, tools, and approaches and move quickly from experimentation to production.

Real production impact — Your work will power trade workflows used by freight forwarders and customs professionals, not just prototypes or internal R&D projects.

Meaningful ownership — In a small engineering team, you will have significant influence over the AI architecture, technical decisions, and evolution of the platform.

Broad AI scope — Work across document intelligence, agentic automation, customs workflows, tariff classification, and trade compliance rather than being limited to a single AI feature.

A genuinely challenging domain — Cross-border trade involves complex regulations, messy documents, multiple data formats, and real operational consequences. It is an environment where well-designed AI can create substantial value.

Growing regional opportunity — Build technology designed to scale across clients and trade workflows throughout Asia-Pacific.

How to Apply

Send us your CV together with a brief introduction to your AI/LLM experience. Links to relevant projects, GitHub repositories, demos, or published work are highly encouraged.

Bonus: If you have built something involving document intelligence, agentic AI, logistics/trade automation, or complex workflow automation, we would love to see it.