---
title: 'AI Engineer at Atira'
canonical: 'https://feeny.ai/job/ai-engineer-atira-munich-vqe40cjyxvam'
type: 'job'
last_seen: '2026-09-04'
---

# AI Engineer at Atira

- **Company:** Atira
- **Location:** Munich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/atira/d87f5ca7-0019-45e4-b448-e18eb5ac33da

## Job description

## ABOUT ATIRA

Atira 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 SHIPS

As an AI engineer at Atira, you will work on frontier AI technology, such as agent harnesses, runtimes, evals and self-verification in complex engineering domains. You build the frameworks and scaffolding that enable agents to reliably understand multi-stakeholder, complex industrial processes, ranging from inbound processing, product configuration, pro-active information retrieval, complex technical documentation writing and seamless systems write-backs.

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 honestly 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 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

## WHAT YOU'LL GET

- Real ownership: you'll be one of the early team members and shape both product and architecture as well as work closely with customers
- Strong peers: work with people who have built and shipped AI systems in industrial environments at scale before, and the chance to learn directly from them
- Impactful work: your code is deployed all across Europe’s and US industrial backbone, affecting how complex products and services are sold and configured worldwide
- Competitive salary & equity package and additional benefits including Wellpass, JobRad and company dinners
- Most importantly: Collaborate & thrive in a high-performing but caring culture. We will own the industrial sales function but will do so with modesty and integrity

WHAT SUCCESS LOOKS LIKE AFTER A FEW MONTHS

- You've shipped meaningful improvements to the agent runtime, our AI pipelines and related systems that are running in production across multiple customer deployments
- You own core parts of our AI stack (evals, tooling, context-layer, infrastructure, a piece of the SDK) and the team trusts your judgment on how it should evolve
- When something agent-related breaks in production, you're one of the people who can trace it end to end, from agent behaviour back to the agent infrastructure layer, and fix it
- You've improved our internal AI tooling to significantly accelerate engineering output at high quality
- Your design decisions have held up under real load and you can explain the tradeoffs you made and what you'd do differently

## About Atira

## Company Overview
- **One-liner**: Atira develops AI agents that automate the intake and processing of complex technical inquiries and requirement specifications for sales engineering workflows in manufacturing.
- **Entity Type**: Private (Bootstrapped/Unfunded)
- **Headquarters**: Munich (Gräfelfing), Germany
- **Founded**: 2024
- **Founders**: Florian Diegruber (Co-Founder & CEO) and August DuMont Schütte (Co-Founder & CTO)

## Core Business
- **Primary industry**: AI-powered Sales Engineering Software (Configure-Price-Quote / CPQ) for industrial manufacturing
- **Target customers**: B2B; specifically engineering organizations and manufacturers operating in the "Configure-to-Order" space with high custom solution ratios (e.g., modular machine builders, plant manufacturers)
- **Mission**: To build a global software champion that gives sales and mechanical engineers an AI-first upgrade, ensuring the best machinery products are quoted and sold efficiently. The company believes Munich will become the central hub for software engineers applying their skills to hardware challenges.

## Products & Services
- **Extract into Structured Content**: Instantly converts complex RFQs and heavyweight technical documents into organized requirements, ready for downstream workflows.
- **Auto-Suggest Commentary**: Automatically detects technical contradictions and generates expert commentary for every requirement by cross-referencing inquiries against product constraints and historic project data.
- **Capture Internal Know-How**: Transforms archived documentation into a self-organizing knowledge base that lets teams search and retrieve engineering solutions instantly.
- **Optimize Technical Solutions**: Processes complex CPQ & ERP rule engines to apply deterministic approaches to the classification of processed requirements.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (bootstrapped, no funding rounds raised)
- **Key Metric**: Total Funding — None raised (bootstrapped as of June 2026)
- **Notable Investors/Partners**: Advisory board includes Dr. Markus Flik (Chair LMT Group; Board Trumpf, Festo, Hittech), Eberhard Weiblen (CEO Porsche Consulting), Christian Beedgen (Founder, ex-CTO Sumo Logic), Michael Wax (Founder, ex-CEO Forto), Dr. Leopold von Schlenk-Barn, Khushnud Irani (CEO InfoKrafts, ex-CIO LafargeHolcim), Christof Wahl (Founder & Investor, ex-CDO ProSiebenSat.1)
- **Growth Signals**: Headcount grew from 9 to 14 employees between May and June 2026 (+55%); monthly web traffic growth of +23.6%; featured at Atoms & Bits 2026 in Munich; actively hiring across engineering and forward-deployed roles.

## Competitive Advantages
- **First-mover in AI for industrial sales engineering**: Atira is building the world's first AI sales workforce specifically for complex inbound processes in manufacturing, a niche largely ignored by legacy CPQ vendors.
- **Deep domain focus**: The platform is pre-trained on industry-specific engineering data (RFQs, technical specs, product constraints) rather than being a generic document parser, creating a significant moat.
- **Integration with existing enterprise systems**: Works with PLM, CRM, and ERP systems, reducing friction for adoption in traditional manufacturing environments.
- **Strong advisory board**: Backed by heavyweights from Porsche Consulting, Trumpf, Festo, Sumo Logic, and Forto, lending credibility and industry access.

## Strategic Focus
- **Product-led growth**: Building a suite of specialized AI "department agents" that can be personalized for complex inbound processes, starting with sales engineering and expanding to procurement and other functions.
- **Talent density**: Prioritizing a small, high-ownership team with above-market compensation and equity to attract top-tier AI and engineering talent.
- **Munich as a hub**: Actively positioning Munich as the central hub for applying cutting-edge AI to hardware and industrial challenges.
- **Bootstrapped discipline**: Operating without external funding, which forces a focus on product-market fit and sustainable unit economics from day one.

## Why Work Here
- **High ownership, small team**: With only ~14 employees, new hires will have outsized impact and responsibility from day one.
- **Cutting-edge tech stack**: The company emphasizes using the most advanced AI tooling available, offering engineers the chance to work on frontier AI applied to real-world hardware problems.
- **Above-market compensation**: The company explicitly offers above-market salary and equity, unusual for a bootstrapped startup.
- **Munich location**: Based in Munich's high-tech landscape, bridging industrial excellence with frontier AI.
- **Engineering culture**: Built by engineers for engineers; the team is 50% technical, with a flat structure and high autonomy.
- **Hybrid/remote flexibility**: The company has a presence in Munich and Switzerland, and recent hires include a Forward Deployed Engineer from Vienna, suggesting flexibility for the right candidates.
- **Small team, big impact**: With only 14 people, every hire directly shapes the product and company trajectory.

## Sources
1. [atira.ai](https://atira.ai/)
2. [atira.ai/about-us](https://atira.ai/about-us)
3. [LinkedIn - Atira](https://de.linkedin.com/company/atira-ai)
4. [atira.ai/products](https://atira.ai/products)
5. [Tracxn - Atira Company Profile](https://tracxn.com/d/companies/atira/__C9KDVhCyWAgAigeWWKyVEwWL-p0EYEUpFWfDM6sBDGk)

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