Senior AI Engineering Lead (PhD)

Software Development Developer ML AI/Artificial Intelligence AI/ML Machine Learning

Icon salary Mức lương
Thỏa thuận
Icon Location Khu vực
Ha Noi, Việt Nam

Phúc lợi

Lương tháng 13 Lương tháng 13
Bảo hiểm full lương Bảo hiểm full lương
Phúc lợi khác Phúc lợi khác
Đánh giá lương hàng năm Đánh giá lương hàng năm
Du lịch/Công tác Du lịch/Công tác
Cấp laptop Cấp laptop
Thưởng chỉ tiêu Thưởng chỉ tiêu
Bảo hiểm nâng cao Bảo hiểm nâng cao

Tổng quan về công việc và trách nhiệm

NYB is looking for a senior AI engineer leader 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. - 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.

Kỹ năng và kinh nghiệm tối thiểu

- 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

Tại sao ứng viên nên làm ở đây

- Competitive salary (negotiable based on experience) - 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

Ưu tiên có kỹ năng và kinh nghiệm

- 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.

Báo cáo cho

CEO

Quá trình phỏng vấn

Screening -> 1-2 rounds of technical interview

Thien Dinh

Headhunter | Recruiter

  • 826 ứng viên
  • 183 phỏng vấn
  • 21 đi làm
Chat với Thien Dinh

Ứng tuyển vào công việc này

Thành công!

Cảm ơn bạn, bạn đã gửi thông tin thành công.

← Xem thêm công việc của Thien Dinh
Tải CV lên — AI sẽ tự động điền thông tin vào form giúp bạn
upload Nhấp vào hoặc kéo thả tệp vào để tải lên Chỉ có thể tải lên 1 tập PDF (3MB)

Thông tin liên lạc

Sơ lược

$

$

Câu hỏi bổ sung

Thien Dinh

Headhunter | Recruiter

  • 826 ứng viên
  • 183 phỏng vấn
  • 21 đi làm
Chat với Thien Dinh Xem hồ sơ →