Resaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance.
Resaro builds custom AI testing software that helps organisations validate the performance, robustness, and safety of mission-critical AI systems — spanning computer vision, generative AI, and autonomous systems. Our clients include government, military, and commercial organisations deploying AI in high-stakes environments. We work through embedded teams deployed on-site or closely integrated with our clients.
We're looking for a Forward Deployed Engineer to be the bridge between our platform and our customers. You'll deploy our AI assurance platform in complex customer environments, build last-mile integrations, and support pre-sales with rapid prototyping and technical demonstrations. This role combines deployment engineering, software development, and customer communication — all in regulated, high-stakes settings.
What You'll Do
Deploy and configure AIP in customer environments, including air-gapped and on-premise settings
Build last-mile integrations connecting our platform to varied customer infrastructure
Own first-line bug fixing, platform updates, and issue resolution at customer sites
Develop client-specific customisations and new custom modules from requirements through to delivery
Support pre-sales with technical workshops, proof-of-concept builds, and rapid prototyping
Provide L1/L2 technical support and customer onboarding
Execute existing test plans for customer use cases and adapt reports for customer stakeholder presentations
Communicate effectively with technical and non-technical customer stakeholders
Feed field learnings back into the core product team (~20% of capacity)
What We're Looking For
2–5 years of software engineering experience, with customer-facing deployment exposure
Strong proficiency in Python and at least one additional language
Experience with Docker, Kubernetes, and deploying applications in varied infrastructure environments
Comfort working independently on-site at customer locations with minimal supervision
Excellent communication skills: ability to translate technical concepts for non-technical stakeholders
Problem-solving under pressure: diagnosing and resolving issues in production environments
Experience writing documentation, handover notes, and customer-facing technical material
Nice to Have
Experience in defence, pharma, or other regulated industries
Experience with air-gapped deployments and restricted environments
Pre-sales or solutions engineering experience
ML/AI background: familiarity with model deployment, fine-tuning, or evaluation
German language skills (for Munich-based roles)
Experience with DevSecOps and security-hardened environments
Our Wish List
We have deliberately tightened our hiring bar. Every engineer we bring on must meet these standards:
Production-grade code: You must demonstrate the ability to write clean, tested, maintainable code that ships to production — not just prototypes or notebooks.
Communication and handover: You must be able to clearly document your work, hand over context to colleagues, and communicate technical decisions to non-technical stakeholders.
Independent operation: You must be able to work autonomously with minimal supervision, manage ambiguity, and make sound technical decisions.
T-shaped profile: Depth in your primary area plus working knowledge across the stack. We value breadth alongside expertise.
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