What you will do

Build the agent runtime and harnesses. You design and improve the core loops that let Atira's agents reason in complex engineering environments across the entire sales-engineering lifecycle. This includes the SDK, execution harnesses, and the orchestration layer that ties it together
Build out our AI moat. You are in charge of quality & evals, customising tools & skills, improving the ontology layer that unlocks compounding process knowledge and fusing deterministic guardrails with flexible harnesses to make our agents actionable at enterprise level complexity
Unlock industrial scale. 1000s page inbounds, excel pricing lists, technical drawings, CAD files, ERP tables, configurator rules - industrials live in multi-modal, data heavy environments where reliability is crucial. You will be responsible to continuously scale our AI systems and infrastructure: Millions of concurrent LLM requests, safely isolated sandboxes and the corresponding observability stack - no silent failures, cost blowouts, or latency explosions
Advance our internal AI tooling. FDEs, platform engineers and the GTM team depend on tooling you build to improve Atiras internal context layer, the models we use and skills we provide them with
Work with FDEs when customer problems hit the platform. When an FDE hits a problem that traces back to the runtime, the pipeline, or the AI infrastructure, you're the person they pull in. At a team of 12, the boundary between AI, platform and customer is thin, and you'll cross it regularly

What we are looking for

Ownership, 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 profile

Agent fluency sits on top of real engineering fundamentals. Strong skills in Python, TypeScript, or a comparable language. 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 are a strong technical decision maker that knows how to scale systems into millions of calls per day, while being able to explain the pros and cons of every solution. Yes, every solution: there is no free lunch
You’ve demonstrated ownership and initiative: a company you started, a serious open-source contribution, a side project that demand drove to production scale, a role where you owned a technical outcome others would have delegated. We want to see evidence that you build things without being told to
Degree in Computer Science, Information Systems, AI, or a related technical field from a strong technical university
Full working proficiency in English. German is not required

Responsibilities

What you will do

Build the agent runtime and harnesses. You design and improve the core loops that let Atira's agents reason in complex engineering environments across the entire sales-engineering lifecycle. This includes the SDK, execution harnesses, and the orchestration layer that ties it together
Build out our AI moat. You are in charge of quality & evals, customising tools & skills, improving the ontology layer that unlocks compounding process knowledge and fusing deterministic guardrails with flexible harnesses to make our agents actionable at enterprise level complexity
Unlock industrial scale. 1000s page inbounds, excel pricing lists, technical drawings, CAD files, ERP tables, configurator rules - industrials live in multi-modal, data heavy environments where reliability is crucial. You will be responsible to continuously scale our AI systems and infrastructure: Millions of concurrent LLM requests, safely isolated sandboxes and the corresponding observability stack - no silent failures, cost blowouts, or latency explosions
Advance our internal AI tooling. FDEs, platform engineers and the GTM team depend on tooling you build to improve Atiras internal context layer, the models we use and skills we provide them with
Work with FDEs when customer problems hit the platform. When an FDE hits a problem that traces back to the runtime, the pipeline, or the AI infrastructure, you're the person they pull in. At a team of 12, the boundary between AI, platform and customer is thin, and you'll cross it regularly

What we are looking for

Ownership, 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 profile

Agent fluency sits on top of real engineering fundamentals. Strong skills in Python, TypeScript, or a comparable language. 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 are a strong technical decision maker that knows how to scale systems into millions of calls per day, while being able to explain the pros and cons of every solution. Yes, every solution: there is no free lunch
You’ve demonstrated ownership and initiative: a company you started, a serious open-source contribution, a side project that demand drove to production scale, a role where you owned a technical outcome others would have delegated. We want to see evidence that you build things without being told to
Degree in Computer Science, Information Systems, AI, or a related technical field from a strong technical university
Full working proficiency in English. German is not required