This is one of the few AI engineering opportunities in the Thailand job market where you’ll be building enterprise-grade GenAI systems at regional APAC scale rather than internal pilots or isolated use cases. You’ll work across LLM applications, advanced RAG architectures, and agent-based workflows that are already delivering measurable business outcomes for major organisations. What’s in it for you
Work on production-grade GenAI solutions, not proof-of-concept projects that never go live
Join a business in a high-growth expansion phase, creating strong progression opportunities
Build solutions for enterprise clients across sectors including financial services, telecoms, and retail
Gain exposure to modern AWS-native AI architectures, scalable data platforms, and applied LLM engineering
Collaborate with senior specialists across AI, engineering, and consulting
Fully remote setup with the opportunity to work across regional projects in APAC
What you’ll be doing You’ll take ownership of designing and delivering enterprise-ready GenAI applications that solve real operational and customer-facing challenges. Your work will span LLM-powered services, advanced RAG implementations, and agent-based workflows, with a strong focus on reliability, performance, and scale. You’ll be building cloud-native APIs and microservices, shaping event-driven architectures, and optimising systems for latency, throughput, and cost efficiency. This role also offers the opportunity to work on complex knowledge architectures, including vector search and graph-based data models, while partnering closely with cross-functional teams to bring AI products into production. Your background
At lease 2 years’ experience across AI engineering, machine learning, or software engineering
Proven track record delivering LLM, RAG, or agent-based applications into production
Strong Python engineering skills, with exposure to additional backend languages such as Node.js, Java, or Go
Experience designing microservices, APIs, and scalable cloud-native systems
Strong understanding of embeddings, vector databases, retrieval strategies, and orchestration frameworks
Experience with tools such as LangChain, LangGraph, or similar frameworks
Exposure to model optimisation, observability, monitoring, and production debugging
Comfortable operating in a fast-paced, client-facing delivery environment
The environment You’ll be joining a specialist consultancy that sits at the intersection of enterprise data transformation and applied AI innovation. With strong momentum across APAC and continued investment in its GenAI capability, this is an environment built for engineers who want ownership, pace, and the chance to influence how enterprise AI is delivered at scale.
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Senior Consultant
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