Senior Backend Engineer (AI Drug Discovery Platform)

Engineering Python AI/Artificial Intelligence Backend

Icon salary Mức lương
$3.000 - 5.000
Icon Location Khu vực
Hanoi

Phúc lợi

Lương tháng 13 Lương tháng 13
Phúc lợi khác Phúc lợi khác

Tổng quan về công việc và trách nhiệm

We are looking for a Senior Backend Engineer to help build and scale the backend engine of our drug-discovery Super Intelligence. You will: - Design and build the APIs, services, and data flows that power AI agents, models, and lab workflows. - Work closely with AI researchers, data scientists, and biologists to turn ideas into running systems. - Help shape how our PD and CNS foundation models are served, observed, and improved over time. - This is a hands-on role with high ownership. You will write code, make architecture decisions. KEY RESPONSIBILITIES Build the core backend for our Drug Discovery SI - Design and implement backend services and APIs (mainly Python + FastAPI / Django). - Build asynchronous pipelines for tasks like molecule generation, docking, ADMET prediction, and literature search. - Integrate with AI services, research running on NVIDIA GPUs (foundation models, docking surrogates, RAG systems). Make the system reliable, observable, and safe - Design database schemas in PostgreSQL (including JSONB and vector embeddings). - Implement logging, tracing, and metrics so we can see what each experiment and agent is doing. - Ensure security and access control for sensitive health and scientific data. Work as a core member of the discovery team - Collaborate with AI engineers, lab scientists, and clinicians to understand needs and translate them into APIs and tools. - Review code and help set engineering standards. - Take part in system design discussions and help plan the next versions of our platform.

Kỹ năng và kinh nghiệm tối thiểu

- 5+ years working as a backend or platform engineer, ideally with experience owning key services in production. - Strong in Python and at least one backend framework (FastAPI or Django). - Solid understanding of relational databases (PostgreSQL), transactions, indexing, and query performance. - Experience with asynchronous task queues (Celery, RQ, etc.). - Comfortable with Docker, containers, and CI/CD. - Able to design systems that are clear, maintainable, and scalable, not just “make it work”. - Curious about AI and science, even if you are not a biologist yet.

Tại sao ứng viên nên làm ở đây

- Ownership of core intelligence: You’ll lead the modeling direction for Parkinson’s Disease-focused foundation models and scientific predictors that sit at the heart of our end-to-end discovery engine—not side experiments. - High-impact mission: Your work directly affects how quickly we can generate and prioritize better Parkinson’s Disease drug candidates, with real-world downstream validation. - GPU-first build environment: Access to modern GPU infrastructure and an engineering stack designed for training + high-throughput inference, with strong MLOps support for deployment. - End-to-end shipping culture: You’ll take models from idea → experiment → evaluation → production. We value measurable impact, reproducibility, and decision- grade reliability. - Annual leave - SHUI and Health Insurance - Bonuses and 13th-month salary. - Other benefits are considered on a case-by-case basis

Ưu tiên có kỹ năng và kinh nghiệm

- Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes, ECS). - Worked with AI / GPU workloads, model serving, or MLOps. - Experience with RAG system (e.g., pgvector, Pinecone, Weaviate). - Built or integrated AI experiment pipelines (tracking prompts, versions, metrics, A/B tests). - Any exposure to drug discovery or biology (SMILES, protein structures, omics data) is a plus, but not required.

Báo cáo cho

Management team

Quá trình phỏng vấn

Phone screen -> Assignment -> Technical round

Lynn Mary

Headhunter | Recruiter
Verified
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Lynn Mary

Headhunter | Recruiter
Verified
Icon employee 589 ứng viên
Icon cup 142 phỏng vấn
Icon health 24 đi làm

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