As an AI Engineer, your primary responsibilities will include:
Own the research-to-production loop for our agent: survey emerging agentic techniques, run structured experiments against them, and ship what proves out.
Continuously upgrade core agent capabilities — planning, tool selection and reasoning, memory, multi-agent coordination — measured against real tasks and bench outcomes, not demos.
Build and own the evaluation harness that tells us whether a change is genuinely an improvement. For a system answerable to experiments, this is the backbone of the role.
Diagnose where the agent fails at the edge of its current capability, and design the fixes.
Help lead the agent platform team: set the technical direction for agentic practice internally, review and mentor, and raise the quality bar for the engineers you work alongside.
Translate frontier research into pragmatic engineering calls under real reliability, latency, and cost constraints.
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a highly quantitative field with a strong focus on autonomous systems or NLP.
A senior track record building production agentic systems — real planning, tool use, and multi-step reasoning, not prompt pipelines. Depth counts more than title or exact tenure (roughly 6+ years of software/ML work, or equivalent research-and-shipping depth).
Demonstrated ability to take a technique from current research and land it in a production system, with measured impact.
Deep command of how agents actually work — tool definition, state and context management, orchestration, multi-step control — and the judgment to choose or build the right pattern. (LangGraph, MCP, and whatever replaces them are tools, not the skill.)
Rigorous about evaluation: you've designed eval harnesses for non-deterministic systems and you trust data over intuition.
Fluent reading and dismantling ML/agent papers; strong Python and system-design fundamentals.
The judgment and communication to help lead a technical team — set direction, review others' work, raise the bar — whether or not you've carried a formal lead title.
Exposure to scientific or research workflows, ideally drug discovery or another iterative experimental loop.
Prior experience mentoring or setting technical direction for a small team.
Background in RAG, memory systems, or multi-agent orchestration; bio/chem familiarity a plus.
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
Competitive salary (negotiable based on experience)
Workplace: No.45-57, Tran Xuan Soan, Hai Ba Trung, Ha Noi (From Monday to Friday: 9h -17h)
Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts.
Work on impactful projects that address critical challenges in drug discovery and healthcare.
Employees are entitled to 2 work-from-home days per month, along with daily lunch provided by the company.
