Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Thành phố Hà Nội, Hà Nội
Overview
- Build AI-powered features, pipelines, prototypes, and integrations.
- Evaluate accuracy, latency, cost, reliability, and failure modes.
- Work with product and engineering teams to define practical AI use cases.
- Prepare datasets, prompts, experiments, and evaluation methods where needed.
- Integrate AI services or models into production-oriented applications.
- Document assumptions, limitations, and operating requirements.
- AI/ML engineering: Python, AI/ML or LLM APIs, prompt/workflow design, evaluation datasets, embeddings/retrieval, and experiment tracking practices.
- Application integration: Backend APIs, service integrations, queues or background jobs, data pipelines, and product-facing AI workflows.
- Data/evaluation: Structured and unstructured data processing, test sets, metrics, failure analysis, and reproducible evaluation harnesses.
- Delivery: Git, Docker/containerized environments, cloud deployment patterns, monitoring, logging, and secure handling of model/data access.
- Practical experience building AI/ML or LLM-based workflows.
- Ability to evaluate model/system behavior with evidence.
- Solid software engineering ability, especially Python/API integration.
- Understanding of failure modes, cost, latency, privacy, and data quality.
- Ability to communicate uncertainty and limitations clearly, including when a simpler non-AI approach may be more appropriate.
- Willingness to travel up to 50% of the time, on short notice when required (see Travel).
- Professional working English.
- Experience with LLM applications, retrieval, evaluation, or prompt/workflow design.
- Experience integrating AI into web products or backend systems.
- Experience with monitoring, fallback behavior, or human-in-the-loop workflows.
- Understand the relevant systems, workflow, delivery context, and current risks.
- Deliver scoped improvements with clear communication and review.
- Reduce bottleneck pressure in your area by leaving behind maintainable code, documentation, checks, runbooks, or reusable patterns.
Summary of facts from the official posting. View original ↗
Interested in this role?
You'll be taken to the employer's official application page.
Apply on official site ↗
Is this your business?
Claim this page, request edits or removal
→