AI Engineer

About Aetosky Aetosky delivers AI-powered intelligence solutions for government and defense clients across Asia Pacific and the Middle East. Our engineering team builds the platforms, pipelines, and interfaces that turn complex data into decision-ready intelligence products - working at the intersection of large-scale data, modern web technology, and applied AI. Team: Aetosky Vietnam Engineering Experience: 4-8 years Type: Full-time Location: Vietnam Hiring priority: High About the role Aetosky is hiring an AI Engineer to turn AI ideas into useful, testable, maintainable product capabilities. This role is for someone who can move beyond demos: evaluate model behavior, build reliable workflows, integrate AI into products, and communicate limitations clearly.

What you will own 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:. Core technology stack 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.

What we are looking for 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.

Travel This role requires a willingness to travel up to 50% of the time.

Travel is need-driven rather than scheduled - when a client engagement, on-site deployment, or operational requirement arises, you are expected to travel as required, including across Asia Pacific and the Middle East.

Nice to have 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.

First 90 days 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.

How we evaluate We evaluate candidates through baseline design, evaluation approach, failure-mode analysis, API/integration boundaries, cost/latency/privacy judgment, and practical awareness of when a simpler non-AI solution may be better.

To be discussed during the hiring process.

Working in international company, with chances to travel abroad for business trips Competitive salary and leave package Health insurance International company with travel abroad experience (full travel cost borne by company) Timely and well structured social insurance payouts Leadership development opportunities and training programs Working location: 5th Floor, CT2 Building, CT14 Bac Ha, To Huu Street, Dai Mo Ward, Hanoi