Applied AI Research Engineer (Agentic Systems)

Hạn nộp hồ sơ: 02/07/2026 (Còn 28 ngày)

Thời gian làm việc:

Từ Thứ 2 đến Thứ 6 (09:00 - 17:00, Nghỉ trưa 12:00 - 13:00 )

Địa điểm làm việc:

Hà Nội

45 - 47 Trần Xuân Soạn, Phường Hai Bà Trưng, Hà Nội

(Trước sáp nhập: Hai Bà Trưng, Hà Nội | Sau sáp nhập: Hai Bà Trưng, Hà Nội)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

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 benchmarks, not demos.
Build and own the evaluation harness that tells us whether a change is actually an improvement. This is the backbone of the role.
Diagnose where the agent fails at the frontier of its current capability and design the fixes.
Set technical direction for agentic best practices internally; review, mentor, and raise the quality bar for the existing engineers.
Translate latest research into pragmatic engineering decisions under real reliability and cost constraints.

Must have:
6+ years software/ML engineering, with a recent track record building production agentic systems (planning, tool use, multi-step reasoning) — not prompt pipelines.
Demonstrated ability to take a technique from current research and land it in a production system, with measured impact.
Strong command of agent frameworks and patterns (e.g., LangGraph, MCP, or equivalents) and the internals: tool definition, state/context management, orchestration.
Rigorous evaluation — you've designed eval harnesses for non-deterministic systems and trust data over intuition.
Fluent in reading and dismantling ML/agent papers; strong Python and system-design fundamentals.
Nice to have:
Exposure to scientific or research workflows, ideally drug discovery or other iterative experimental loops.
Experience mentoring or setting technical direction for a small team.
Background in RAG, memory systems, or multi-agent orchestration; bio/chem familiarity a plus.

Competitive salary
Workplace: 45-47 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.

Ngành nghề:

Quản Lý Chất Lượng Sản Xuất, Kỹ Thuật Sản Xuất - Bảo Trì, Quản Lý Dự Án IT

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