Hybrid Senior AI Engineer

at Altura

• Job title: Senior AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Azure, Cloud
• Location requirements: Hybrid, Amsterdam, Netherlands

About the role

• Senior AI Engineer building agentic workflows and production-grade systems for an AI-powered platform. Join Altura to innovate and drive impactful AI initiatives in a startup environment.

Responsibilities

• Design and Deliver an agentic layer and a rich context graph that delivers automation of work with deep integration in our customers knowledge repositories.
• Drive architecture & delivery of production LLM/GenAI systems (context engineering, agentic workflows, model evaluations, multi-model strategies).
• Define and implement evaluation: offline + online metrics, gold sets, regression tests, human review loops, and A/B experiments.
• Operationalize LLMOps: deployment patterns, observability, monitoring, incident response, and performance/cost optimization (latency, throughput, token spend).
• Build guardrails & security: prompt-injection defenses, data-exfiltration prevention, permissions for tools/actions, and safe handling of sensitive data.
• Establish engineering standards: reference implementations, reusable libraries, review practices, and documentation that accelerates teams.
• Mentor and influence: coach engineers, raise the bar on system design and code quality, and align multiple teams on outcomes and timelines.

Requirements

• Extensive experience in AI/ML software engineering (or equivalent), with multiple production AI/ML launches.
• Strong software engineering fundamentals (system design, testing, reliability, code review, APIs).
• Proven experience with LLM application patterns (e.g., context engineering, output quality, embeddings/vector search, prompt design, structured outputs).
• Hands-on experience building evaluation + monitoring for model/system quality in production.
• Comfort operating in cloud environments (Azure), containers, CI/CD, and modern observability.
• Excellent cross-functional communication: you can translate ambiguity into plans, tradeoffs, and shipped outcomes.
• Nice to have: Experience optimizing inference (caching, batching, routing, quantization) or serving open-source models.
• Nice to have: Experience building internal AI platforms (evaluation harnesses, prompt/version management).

Benefits

• Work for an AI-build SaaS startup, going scaleup
• 40 hours per week ⏱️
• Competitive salary and Virtual Stock Units (VSUs) 💸
• 26 vacation days 🏖️
• All the tools and tech stack you want 🛠️
• Work remotely when and how you want, as long as output is delivered and results are met 🔄
• Budget to develop and spend it on courses you want 💡
• Macbook 💻
• Hybrid working model - 2 days/week in either our Amsterdam or London office 🏫