Resaro

Solutions Engineer

• Lead technical pre-sales across computer vision and embodied AI / autonomy engagements: workshops, demos, solution-design sessions.
• Scope customer requirements (CV model assurance, UGV / robotics autonomy V&V) and translate them into formal technical specifications and test strategies.
• Design solution architectures that map customer needs to AIP capabilities across vision, generative, and autonomous-systems testing.
• Act as the feasibility anchor for both the solutions we propose to clients and the internal roadmap: guide the team on what to build and how to prioritise, grounded in hands-on experience of what is realistic.
• Push back constructively when a client requests something that does not make technical sense or would demand disproportionate effort, and steer them toward a workable alternative.
• Advise customers on evaluation methodology: ODD specification, scenario design, simulation-based and real-world V&V, sensor-data analysis, and model performance, robustness, and safety testing.
• Work with Forward Deployed Engineers to ensure smooth handover from scoping to deployment.
• Maintain ongoing technical relationships with key government and defence accounts.
• Contribute to proposal writing, RFP responses, and technical documentation.
• Provide market and competitive intelligence to inform the product roadmap, particularly in autonomy and robotics testing.

Solution Architect – Computer Vision, Embodied AI

AI Engineer

• Own the agentic-evaluation engine.
• Build the capability that scores agents on the metrics that matter.
• Evaluate stateful, multi-turn behaviour - not single prompts.
• Make evaluation trustworthy.
• Build the agentic-security surface.
• Close the lab-to-production gap.
• Translate governance into engineering.
• Extend into emerging autonomy.

Senior AI Engineer – Agentic AI Evaluation

Engineering Manager

• Lead the technical direction of our AIP evaluation engine across verticals
• Stay hands-on where it matters most
• Own conceptual integrity as the system grows
• Line-manage your team
• Own delivery and engineering quality
• Manage the defect flow
• Build a strong multi-disciplinary team
• Partner across teams

Engineering Manager – AI Evaluation Engine

Artificial Intelligence

• Assist in developing, testing, and evaluating machine learning models.
• Perform data preprocessing, analysis, and feature engineering to prepare datasets for model training and testing.
• Work closely with senior data scientists and AI engineers to design testing frameworks for AI.

AI Internship, Working Student

Engineer

• Deployment and configuration of our platform (AIP) in customer environments, including air-gapped and on-premises scenarios
• Building last-mile integrations to connect our platform to diverse customer infrastructures
• Independently troubleshooting, applying platform updates and resolving incidents on-site at customer locations
• Developing customer-specific customizations and new modules, from requirements gathering through delivery
• Supporting pre-sales with technical workshops, proof-of-concept development and rapid prototyping
• Providing L1/L2 technical support and managing customer onboarding
• Executing existing test plans for customer use cases and preparing reports for customer presentations
• Communicating effectively with both technical and non-technical contacts on the customer side
• Feeding field insights back to the core product team (approx. 20% of capacity)

Forward Deployed Engineer

Full-stack Engineer

• Architect and build critical backend services and scalable APIs (Python/FastAPI) that power our AI assurance platform.
• Own the full lifecycle of major platform components - from initial design through deployment, monitoring, and long-term maintenance.
• Build and maintain the Kubernetes-based service orchestration infrastructure that underpins AIP, our core platform.
• Develop responsive, data-rich UIs using React/TypeScript and modern frontend frameworks.
• Manage CI/CD pipelines, infrastructure-as-code (Terraform), and Kubernetes environments for production and customer deployments.
• Implement and maintain security practices: DevSecOps, secrets management, compliance (SOC 2, defence procurement).
• Partner with AI Engineers and Product to translate complex evaluation requirements into pragmatic, robust technical solutions.
• Write production-quality code with strong test coverage; mentor other engineers through code reviews and design discussions.
• Identify and address technical debt proactively; improve platform reliability and maintainability over time.

Solution Architect – Computer Vision, Embodied AI

Senior AI Engineer – Agentic AI Evaluation

Engineering Manager – AI Evaluation Engine

AI Internship, Working Student

Forward Deployed Engineer

Software Engineer