À propos de ce poste Senior AI Engineer chez Altura
We’re Altura, an ambitious SaaS startup, and we just raised our Series A!
At Altura, we’re making it easier for organisations to win complex deals (tenders and RfPs). With our AI-powered platform, we simplify bid management by turning it into a smooth, strategic process. We connect workflows, automate tasks, and make knowledge accessible, so teams can work more efficiently and effectively.
But we’re not stopping there.
We’re building the first AI-powered Agentic Virtual Bidmanagement Assistant, designed to automate the entire bid lifecycle. With fresh funding, big ambitions, and a fast-growing team, we’re just getting started.
If you value innovation, enjoy working collaboratively, and want to make a real impact, we’d love to have you on board.
Let’s work together!
TL;DR
Altura is building the first agentic AI Virtual Bid Manager—a system that automates the entire bid lifecycle—and creating the Knowledge Center that turns bid data into actionable insights for organisations to make smarter, data-driven decisions.
As a Senior AI Engineer, you’ll join a high-caliber team building the agentic layer that powers Altura’s next evolution. This is not a “plug prompts into an API” role. You’ll design and ship real agentic workflows: context-aware, production-grade systems that sit on top of our proprietary data graph and become a core technical moat.
You’ll work in a small, fast-moving team with full freedom to experiment: Claude Code, Cursor, Copilot, and new models the day they drop. If something advances the state of the art, we’re using it.
You’ll drive high-impact AI initiatives end-to-end:
From discovery and greenfield prototyping
To model evaluation and multi-model strategy
To production rollout, observability, and continuous improvement
Beyond product capabilities, you’ll help shape foundational AI platform components: context engineering, agent orchestration, evaluation frameworks, tone monitoring, and online observability.
No corporate red tape. No endless committees. Just ownership, speed, and real technical influence.
You’ll ship AI that is:
Reliable in production
Scalable across customers
Measurable in impact
Cost-aware by design
And you’ll help define what “great AI engineering” looks like inside a Series A company operating at the leading edge.
Our Tech Stack
AI: Python
Frontend: Vue.js and Next.js
Backend: C# - ASP.NET
Infrastructure: Azure, GitHub, Linear
What you’ll do (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.
What we’re looking for (minimum qualifications)
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.
Experience building internal AI platforms (evaluation harnesses, prompt/version management).
What success looks like in 90–180 days
Delivery of AI native capabilities in our platform, aligned with product goals and risk constraints.
A repeatable evaluation + release process that prevents regressions and supports fast iteration.
AI capabilities shipped with monitoring, guardrails, and measurable business impact.
Interview process
Recruiter screen (30 min)
Meet the team + system design (60 min)
Practical exercise or pairing (90 min)
Fully agentic coding session
Final conversation
Offer
We offer:
Work - Build the future of SaaS at a moment when the way software gets made, sold, and used is being rewritten. We're an AI-built scaleup moving with it, still figuring out what world-class looks like — and there's real room here to do the most meaningful work of your career 🦾
Time - 40 hours per week ⏱️
Compensation - Competitive salary and Virtual Stock Units (VSUs) 💸
Free - 26 vacation days 🏖️
Tech - All the tools and tech stack you want 🛠️
Ownership - Take the lead on your work with the autonomy and trust to make calls without waiting for permission, drive real impact, and help shape where Altura goes next 🚀
Culture - A flat, direct, feedback-rich team that values judgment over hierarchy and outcomes over hours. We give feedback openly, skip the red tape, and trust each other to act like owners 🤝
Fun - Speed at the go-kart track or bowl your colleagues out during our company outings 🏎️
Development - Grow your skills with a budget you can unlock by presenting a case to leadership tied to our OKRs💡
Laptop 💻
Hybrid working model - 2 days/week in our beautiful Amsterdam office 🏫
