Senior AI Engineer Leader
Products
NYB is looking for a senior AI engineer with the research depth of a scientist and the instincts to lead. You treat our agent as a living research problem, not a shipped feature. The agentic field rewrites its own best practices every few months; we need someone who reads the frontier, has the taste to separate signal from hype, prototypes the promising ideas fast, and lands the ones that hold up in production — with evidence they made the system better.
You won't stand up infrastructure from scratch. We already run a working agent orchestrating 300+ scientific tools, with a small, strong team behind it. You're here to make it markedly smarter, more reliable, and more autonomous — and to help lead the engineers building it, raising the bar for how the whole team works.
Responsibilities
- 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.
Qualifications
Must have:
- 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.
Nice to have:
- 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.
Benefits
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.
- Holiday & Tet bonuses; performance-based bonus
- Social insurance contribution on full salary
How to Apply
If you think we're a good match, send your CV to:
Email: office@nyb.group
Subject: [NYB] Senior AI Engineer leader_Your name
We’ll get in touch to let you know what the next steps are.
Contact office@nyb.group for more information.