Home › Companies › Resaroai › Senior/AI Engineer (m/f/d)
Senior/AI Engineer (m/f/d)
Resaroai · Munich, Bavaria, 80333, Germany · On Site · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Resaroai |
| Title | Senior/AI Engineer (m/f/d) |
| Normalized title | - |
| Department / team | Engineering |
| Location | Munich, Bavaria |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-19 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Resaroai. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Munich. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Resaroai |
| Source | 73c75124-6f1a-4720-ab36-38de6a06689e |
| ATS provider | BambooHR |
Description
About Us
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 organisations 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 organisations deploying AI in high-stakes environments. We work through embedded teams deployed on-site or closely integrated with our clients.
We're looking for an AI Engineer to build models and model-based features, and integrate AI into our product. This role is more implementation-focused than research-focused, but research is part of the job. You'll work across model development, evaluation methodology, synthetic data generation, MLOps, and agentic systems. Depending on your strengths, you may weight toward LLM, computer vision, reinforcement learning, synthetic data, agentic AI, or robotics/edge AI.
What You'll Do
Build, deploy, and maintain AI models and model-based features in production — from fine-tuning through serving and monitoring.
Design and implement evaluation methodologies, test plans, and quality frameworks for AI systems (LLM, CV, RL).
Build agentic AI systems using frameworks like CrewAI, LangGraph, LlamaIndex, and MCP.
Create synthetic data generation pipelines, adversarial test cases, and benchmark datasets.
Own model serving infrastructure, MLOps pipelines, and deployment automation.
Research model behaviour, track global SOTA across domains, and translate findings into product improvements.
Package and deploy AI capabilities for customer environments, including edge and air-gapped deployments.
Contribute to the technical differentiation that makes Resaro's testing products industry-leading.
What We're Looking For
3–7 years of experience in AI/ML engineering, with production deployment experience.
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or similar).
Demonstrated depth in at least one domain: LLM/NLP, computer vision, reinforcement learning, or synthetic data generation.
Experience deploying models to production: model serving, API integration, monitoring, versioning.
Understanding of evaluation methodology: experimental design, statistical rigour, benchmark creation.
Ability to bridge research and engineering — read papers, prototype approaches, and ship production code.
Clear communicator who can explain AI concepts to non-specialist colleagues and customers.
Nice to Have
MSc or PhD in AI/ML, Computer Science, or related field.
Experience with LLM fine-tuning, RLHF, or prompt engineering at production scale.
Computer vision expertise: adversarial ML, deepfake detection, AIGC evaluation.
Reinforcement learning experience: reward modelling, policy evaluation.
Experience with ROS2, edge AI, simulation (Gazebo/Isaac Sim) for robotics applications.
Published research or contributions to open-source AI projects.
Experience working in defence, pharma, or other regulated industries.
Experience with air-gapped or on-premise deployment environments.
Our Hiring Blueprint
We have deliberately tightened our hiring bar. Every engineer we bring on must meet these standards:
Production-grade code: You must demonstrate the ability to write clean, tested, maintainable code that ships to production — not just prototypes or notebooks.
Communication and handover: You must be able to clearly document your work, hand over context to colleagues, and communicate technical decisions to non-technical stakeholders.
Independent operation: You must be able to work autonomously with minimal supervision, manage ambiguity, and make sound technical decisions.
T-shaped profile: Depth in your primary area plus working knowledge across the stack. We value breadth alongside expertise.
Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.
Full job record
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| Source ID | 73c75124-6f1a-4720-ab36-38de6a06689e |
| Board ID | 73c75124-6f1a-4720-ab36-38de6a06689e |
| Provider | bamboohr |
| Provider Job Key | 93 |
| Title | Senior/AI Engineer (m/f/d) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Munich, Bavaria, 80333, Germany |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | — |
| Region | Bavaria |
| City | Munich |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://resaroai.bamboohr.com/careers/93 |
| Apply URL | https://resaroai.bamboohr.com/careers/93 |
| First Seen At | 2026-05-30 05:52:50Z |
| Last Seen At | 2026-06-06 10:19:42Z |
| Last Checked At | 2026-06-06 10:19:42Z |
| Last Changed At | 2026-05-30 05:52:50Z |
| Inactive At | — |
| Source Posted At | 2026-03-19 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=resaroai/date=2026-06-06/2026-06-06T10-19-41-202Z-3847ba5b4a09c2248e9b5614ae7849714b0ebe68070ca10e436d186b652b1137.json |
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"description": "<p><span style=\"color: #0d6e6e; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">About Us</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Resaro builds custom AI testing software that helps organisations 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 organisations deploying AI in high-stakes environments. 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Depending on your strengths, you may weight toward LLM, computer vision, reinforcement learning, synthetic data, agentic AI, or robotics/edge AI.</span></p>\n<p><br></p>\n<p><span style=\"color: #0d6e6e; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">What You'll Do</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build, deploy, and maintain AI models and model-based features in production — from fine-tuning through serving and monitoring.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design and implement evaluation methodologies, test plans, and quality frameworks for AI systems (LLM, CV, RL).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build agentic AI systems using frameworks like CrewAI, LangGraph, LlamaIndex, and MCP.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Create synthetic data generation pipelines, adversarial test cases, and benchmark datasets.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Own model serving infrastructure, MLOps pipelines, and deployment automation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Research model behaviour, track global SOTA across domains, and translate findings into product improvements.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Package and deploy AI capabilities for customer environments, including edge and air-gapped deployments.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Contribute to the technical differentiation that makes Resaro's testing products industry-leading.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: #0d6e6e; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">What We're Looking For</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">3–7 years of experience in AI/ML engineering, with production deployment experience.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or similar).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Demonstrated depth in at least one domain: LLM/NLP, computer vision, reinforcement learning, or synthetic data generation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience deploying models to production: model serving, API integration, monitoring, versioning.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Understanding of evaluation methodology: experimental design, statistical rigour, benchmark creation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to bridge research and engineering — read papers, prototype approaches, and ship production code.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Clear communicator who can explain AI concepts to non-specialist colleagues and customers.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: #0d6e6e; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">MSc or PhD in AI/ML, Computer Science, or related field.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with LLM fine-tuning, RLHF, or prompt engineering at production scale.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Computer vision expertise: adversarial ML, deepfake detection, AIGC evaluation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Reinforcement learning experience: reward modelling, policy evaluation.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with ROS2, edge AI, simulation (Gazebo/Isaac Sim) for robotics applications.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Published research or contributions to open-source AI projects.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience working in defence, pharma, or other regulated industries.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with air-gapped or on-premise deployment environments.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: #0d6e6e; font-family: Arial,sans-serif; font-size: 12pt; font-weight: bold\">Our Hiring Blueprint</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">We have deliberately tightened our hiring bar. 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