Technical Specialist - AI Engineering

Role Summary

We are building AI‑powered systems that support multi‑marketplace operations, warehouse operations, financial workflows, and internal developer productivity across Southeast Asia. We’re looking for an AI Developer who can build real AI features and contribute to our broader AI strategy — helping shape how our teams adopt, scale, and govern AI across the company.

This role is perfect for someone who enjoys hands-on engineering but also wants to influence how AI is used at an organizational level. aCommerce is a learning organization, and we are looking for a contributor to that learning mindset who is specialized in software development that effectively incorporates LLMs.

Responsibilities

• Build and integrate AI features into internal tools, microservices, and automation workflows.
• Develop LLM‑powered assistants, RAG systems, and knowledge tools using models like Claude, GPT, and Gemini.
• Create APIs, pipelines, and services that make AI reliable, scalable, and safe.
• Improve developer productivity through AI‑augmented coding, testing, and documentation tools.
• Contribute to the company’s AI roadmap and help identify high‑impact AI opportunities.
• Evaluate new AI tools, models, and platforms — and recommend what we should adopt.
• Help define best practices for prompt engineering, model usage, and safe deployment.
• Support teams in adopting AI responsibly, including training, documentation, and internal guidelines.
• Work with architects to ensure AI systems follow governance, auditability, and data‑handling standards.
• Partner with product, engineering, and operations teams to translate business needs into AI solutions.
• Lead design discussions for new AI‑powered features and internal platforms.
• Help build a culture of experimentation and continuous improvement around AI.

Capabilities

• At least 5 years of software engineering experience.
• Proven experience working on agentic applications with the ability to articulate the tradeoffs between different approaches
• Strong skills in Python, Node.js/TypeScript, or Go. Good awareness of SQL
• Hands-on experience with LLM APIs and context engineering.
• Familiarity leveraging vector databases, RAG pipelines and memory systems
• Experience building APIs, microservices, or event‑driven systems.
• Experience with enterprise SDLC tooling including version control, CI/CD systems, testing methodologies as they pertain to generative and agentic applications.
• Interest in AI strategy, evaluation, and responsible AI practices.
• Curiosity, problem‑solving mindset, and willingness to explore new tools.
• Experience with delivering applications to Kubernetes runtime environments a plus
• Experience using workflow engines, automation, or internal developer platforms.