The Tech Lead — AI Platform is the senior technical leader for the platform runtime, AI engine, and agent-orchestration tier of an AI-native retail decisioning platform. The role is accountable for architectural integrity, build vs buy decisions, integration with upstream data and knowledge-graph services, and the agent runtime's safety and scale properties — and leads a team of senior software, AI, and ML engineers.
Remote candidates outside of Thailand are welcome to apply.
Key Responsibilities:- Own the reference architecture for the platform's runtime, decisioning, and agent-execution tiers; co-chair the Architecture Review Board; author Architecture Decision Records.
- Design, build, and operate the agent runtime (LangGraph, CrewAI, or chosen framework) — deployment, scale, observability, cost per invocation.
- Design and ship an agent autonomy framework with progressive trust levels (shadow / recommender / executor patterns) and measurable gate criteria; operationalise human-in-the-loop patterns for every agent.
- Own the agent registry — catalogued, versioned, owned, gated, monitored agents.
- Define and operationalise the consumption contract with upstream knowledge-graph, semantic-layer, data-product, and event-stream services from the platform team.
- Lead the AI-side decisioning components — orchestrator, trust gate service, agent-side helpers — and coordinate consumption of LLM Gateway and Vector Search services.
- Lead a team of senior software, AI, and ML engineers; mentor on agent-engineering discipline; partner with peer Tech Leads on handoffs into application and experience layers.
- Own runtime SLOs — invocation P95, success rate, HITL response time — and per-agent cost meter; lead incident response for runtime degradation.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
- 8+ years software engineering with 3+ years in a Tech Lead / Staff role owning platform standards.
- Production agentic systems experience — multi-agent orchestration, HITL gates, eval-driven CI; not just RAG demos.
- Strong distributed-systems fundamentals — concurrency, message queues, observability, performance.
- LLM platform depth — at least one major provider (Azure OpenAI, Anthropic, Bedrock, Vertex) in production with cost / latency optimisation.
- API-first design discipline — service contracts, SLOs, versioning, deprecation policies.
- Cloud platform experience (Azure preferred; AWS / GCP transferable).
- Architectural authorship — has written ADRs, chaired ARB, made build-vs-buy calls with executive sponsors.
Preferred Qualifications:
- Built or led a production multi-agent platform serving multiple business consumers.
- Open-source agent framework contributions (LangChain / LangGraph / AutoGen / DSPy).
- Retail / commerce / fintech domain experience; knowledge-graph production experience (Neo4j, Neptune, TigerGraph).
- Causal inference exposure (DoWhy / EconML).
Skills Required
- 8+ years software engineering
- 3+ years as Tech Lead / Staff with architectural decision authority
- Expert with at least one major LLM provider in production
- Production multi-agent orchestration with HITL gates
- Strong distributed systems and observability experience
- Knowledge graph or semantic-layer production experience preferred
What We Do
Makro PRO is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers. Makro PRO brings together the best talent across multi-nationals to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work.
