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 organizations 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 organizations deploying AI in high-stakes environments. We work through embedded teams deployed on-site or closely integrated with our clients. These teams develop tailored tools, pipelines, and platforms that meet specific mission requirements and accelerate the safe adoption of cutting-edge AI technologies.

About the Job

Based in Munich, as a Senior Forward Deployed/AI Engineer at Resaro, you’ll be embedded within a customer-facing team responsible for designing and delivering AI testing platforms. Based in Munich, you’ll collaborate directly with users to understand their workflows and pain points, build and iterate on prototypes, and develop scalable full stack solutions that automate data handling , synthetic data generation , and model evaluation pipelines .

You’ll work closely with AI scientists and solution architects to integrate models, services, and visualizations into highly modular tools that can be deployed both in the cloud and in air-gapped, on-prem environments .

Key Responsibilities:

Client-Centered Development

• Interface directly with end-users and domain experts to understand real-world pain points.
• Rapidly prototype and test ideas to validate feasibility and solution fit.
• Serve as a technical advisor, trainer, and implementation partner to the client.

Full Stack Engineering

• Design and build production ready robust, maintainable, and modular applications using NodeJS (backend) and React (frontend).
• Leverage existing services and extend based on customer needs, including backend APIs and micro services for managing data pipelines, AI model evaluations, and test orchestration.
• Create intuitive user interfaces for configuring and visualizing AI test runs.

Collaboration & Integration

• Provide input to central platform on pain points and potential common services that could be built.
• Work with AI scientists to integrate ML models, inference endpoints, and monitoring tools.
• Package applications for air-gapped, on-premise deployment , with appropriate isolation and dependency management.

DevOps & CI/CD

• Implement CI/CD workflows to streamline development and release cycles.
• Ensure solutions are testable, versioned, and easily maintainable over time.

Product Mindset

• Proactively assess feasibility of proposed solutions and recommend alternatives when needed.
• Contribute to the architectural direction and long-term scalability of Resaro’s testing stack.

Must-Have Skills and Experience

Nice-to-Have

• Experience working in defense, government, or highly regulated environments.
• Familiarity with ML/AI development lifecycles and evaluation pipelines.
• Experience with tools like ComfyUI , LangChain , or custom RAG/LLM agent tooling.
• Knowledge of cloud-native infrastructure and hybrid deployment models.
• Exposure to testing automation frameworks and monitoring tools.
• Understanding of user authentication and secure access control patterns.

Why Join Resaro

• Build tools that help evaluate the next generation of AI systems under real-world constraints.
• Collaborate with mission-driven teams and high-impact clients in defense, aerospace, and AI governance.
• Contribute to meaningful AI oversight and assurance at a critical time in the industry.
• Operate with autonomy and ownership, with support from a highly technical, agile team.

ABOUT US

Resaro is a global AI Assurance company, pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.

Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.