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.