We are looking for a Senior AI Agent Engineer to take the lead in shaping our AI strategy and building intelligent systems into our platform. You won’t just be writing code, you’ll guide the company’s AI direction, design production-ready workflows, and set the standards for how we deliver safe, scalable, and auditable AI features.
You’ll design and deploy agent workflows, build evaluation pipelines, and ensure outputs are safe and explainable. Working directly with the founding team, your impact will shape both our technology and how customers experience our product.
This is a hands-on, high-ownership role where you’ll go from prototype to production, orchestrating integrations, deploying services, and creating the frameworks to scale AI safely.
Responsibility
Design the technical architecture for an AI-powered voice and browser-agent pipeline.
Design and build ML/LLM-powered features end to end, from prototyping to production
Fine-tune, evaluate, and optimize models (LLMs, embeddings, retrieval systems, or classical ML depending on stack)
Build and deploy production-ready AI workflows using Python and modern LLM tooling.
Develop the voice agent conversation flow for issue classification, troubleshooting, escalation, and appointment confirmation.
Implement RAG workflows for installation manuals, error codes, troubleshooting instructions, and internal knowledge bases.
Design a robust retrieval strategy using embeddings, vector search, metadata filtering, chunking, reranking, and evaluation.
Integrate the solution with Supabase for database management, authentication, APIs, vector search, storage, and application data.
Build or integrate a browser agent using Hyperbrowser to navigate the existing ERP/CRM interface and create appointments.
Design safeguards for browser automation, including validation, retries, fallback handling, and auditability.
Develop evaluation frameworks for AI responses, retrieval quality, tool usage, task completion, and conversation outcomes.
Set up A/B testing, feature flags, prompt/version management, monitoring, and production experimentation.
Implement observability using LangWatch and error tracking through Sentry.
Ensure the system is modular, maintainable, testable, secure, and production-ready.
Collaborate with Product, Engineering, and client stakeholders to clarify workflows, define success criteria, and communicate technical trade-offs.
What you bring
Vietnamese with Fluent English (C1/C2 level) - Able to communicate complex technical concepts smoothly with international clients
5+ years of software engineering experience, with 3+ years focused on ML/AI systems
Strong Python skills; experience with PyTorch or TensorFlow
Hands-on experience with LLMs — prompting, fine-tuning, RAG, or agentic systems
Hands-on experience with LangChain, LangGraph.
Familiarity with Supabase (DB, APIs, auth, vector search, storage)
Experience with feature-flag systems (LaunchDarkly or similar)
Comfortable building evaluation frameworks, A/B tests, and monitoring systems
Strong knowledge of embeddings, vector DBs, and RAG workflows
Solid engineering practices: modular, testable, maintainable code
Preferred qualifications:
Advanced degree in AI/ML or equivalent applied research experience.
Experience with RLHF, multimodal AI, or real-time inference.
Contributions to OSS or published AI research.
Domain experience in fintech/proptech or regulated industries
What we offer
Work Location: Flexible. This role is open to hybrid or fully remote arrangements for candidates from anywhere in Vietnam.
An open mind and flat structure where every voice is welcome.
A work environment built on transparency, seamless communication, trust, and a sensible approach,combined with mixed cultures and a speaking environment
Individual assessments every 6 weeks with your line manager
Performance review every 6 months
Christmas Holiday
Competitive salary
