[HN] AI Engineer

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.