Senior AI Engineer

Location: Amsterdam, Netherlands. Hybrid working model with 2 days per week in the Amsterdam office.

Salary: €115,000–€130,000 per year, plus Virtual Stock Units.

Company

Altura is a Series A SaaS startup building an AI-powered platform that simplifies tender and RfP bid management and automates the bid lifecycle.

What you will do

• Design and deliver the agentic layer and rich context graph integrated with customer knowledge repositories.
• Drive the architecture and delivery of production LLM and GenAI systems, including context engineering, agentic workflows, model evaluations, and multi-model strategies.
• Define offline and online evaluation systems with gold sets, regression tests, human review loops, and A/B experiments.
• Operationalize LLMOps through deployment patterns, observability, monitoring, incident response, and performance and cost optimization.
• Build guardrails and security controls, including prompt-injection defenses, data-exfiltration prevention, tool permissions, and safe handling of sensitive data.
• Establish engineering standards, mentor engineers, and align teams on system design, code quality, outcomes, and timelines.

Requirements

• Extensive AI/ML software engineering experience with multiple production AI/ML launches.
• Strong software engineering fundamentals, including system design, testing, reliability, code review, and APIs.
• Hands-on experience with LLM application patterns such as context engineering, embeddings and vector search, prompt design, and structured outputs.
• Experience building evaluation and monitoring systems for model and system quality in production.
• Comfort working with Azure, containers, CI/CD, and modern observability tools.
• Excellent cross-functional communication and the ability to translate ambiguity into plans, trade-offs, and shipped outcomes.

Nice to have

• Experience optimizing inference through caching, batching, routing, or quantization, or serving open-source models.
• Experience building internal AI platforms, including evaluation harnesses and prompt or version management.

Culture & Benefits

• 40-hour work week and 26 vacation days.
• Autonomy, ownership, direct feedback, and a flat team structure with limited bureaucracy.
• Access to modern AI tools and the freedom to experiment with new models and technologies.
• Professional development budget tied to company OKRs.
• Laptop and company outings.

Hiring process

• 30-minute recruiter screen.
• Team meeting and 60-minute system design interview.
• 90-minute practical exercise or pairing, followed by an agentic coding session and final conversation.