Engineering Intern

About AtiraAtira builds the commercial brain for industrials. Our agents 10x the sales engineers of today by offering the complete toolbox of tasks needed in complex environments. They handle everything from extracting and classifying requirements from incoming RFQs, orchestrating communication and information retrieval across multiple stakeholders and systems, while generating outcomes like documentation, production system inputs, or configuration recommendations. CRM. Atira. ERP. We are one of the fastest growing teams in Munich and are looking for you to join us! Why engineers are the foundation of everything Atira shipsAs an Engineering Intern at Atira, you will work on frontier AI technology, such as (recursive) agent harnesses, runtimes, evals, inference and self-verification in complex engineering domains. You build the frameworks, primitives and scaffolding that let agents reliably handle complex industrial processes end to end, from the first inbound RFQ to the write-back into ERP. Misreading or wrongly interpreting a spec can cost a manufacturer six figures, so the challenges are real and the margin for error is thin. Where you trained matters less than what you've built and how clearly you can describe what broke. Atira is at a stage where you must own problems end to end, because what you ship today is what our customers use tomorrow. What you will doWork on the agent runtime and harnesses. You improve the core components that let Atira's agents reason in complex engineering environments across the entire sales-engineering lifecycle, orchestrate themselves recursively at scale through dynamic programs, and handle arbitrarily large amounts of data. This includes the runtime/sandboxing, the harness, and the outer orchestration layer that ties it together Build out our AI moat. You are in charge of improving quality & evals, improving the ontology layer that unlocks compounding process knowledge and fusing deterministic guardrails with agentic agency to make our agents actionable at enterprise level complexity Unlock industrial scale. Industrials live in multi-modal, data-heavy environments: 1000-page inbounds, pricing lists, CAD files, ERP tables, legacy applications. You scale the AI systems behind them to millions of concurrent LLM requests in isolated sandboxes, with no silent failures, cost blowouts or latency explosions. Advance our internal tooling. FDEs, platform engineers and the GTM team depend on tooling you build to improve Atira's internal context layer, ambient agents, insight and observability engines Work with FDEs when customer problems hit the platform. When an FDE hits a problem they should be able to pull you in. At a team of 20, the boundary between AI, platform and customer is thin, and you'll cross it regularly What we are looking forOwnership, depth, and the instinct to take problems personally, go deep until you understand the system, and own the outcome including the parts that broke. Your profileAgent fluency sits on top of real engineering fundamentals. Solid skills in Python, TypeScript, or a comparable language. We value someone that can still code without AI. Ideally paired with hands-on experience with agents, evals, harnesses, runtimes, sandboxing and tools You've gone further than most with AI-assisted development. Whether it's Claude Code, Cursor, Codex, or your own setup, you've invested seriously in building the skills, context, and workflows to get maximum leverage from coding agents. This isn't a nice-to-have. We think engineers who have mastered this are fundamentally more productive, and we hire accordingly You reason clearly about technical tradeoffs. You don’t need to have run systems at scale yet, but you can think through how a design would hold up at thousands of requests per second and explain the pros and cons of different approaches. Every design has tradeoffs: no free lunch You’ve demonstrated ownership and initiative. A side project you took further than