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HomeCompaniesResaroaiSenior/AI Engineer (m/f/d)

Senior/AI Engineer (m/f/d)

Resaroai · Munich, Bavaria, 80333, Germany · On Site · Active · BambooHR

Job facts

FieldValue
CompanyResaroai
TitleSenior/AI Engineer (m/f/d)
Normalized title-
Department / teamEngineering
LocationMunich, Bavaria
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-19 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Munich.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyResaroai
Source73c75124-6f1a-4720-ab36-38de6a06689e
ATS providerBambooHR

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

Job IDd9b6043a8de33ce80a44cf311820945961c1713d
Org IDf0b57942-c9a0-4c9c-b8a7-6f665516be58
Source ID73c75124-6f1a-4720-ab36-38de6a06689e
Board ID73c75124-6f1a-4720-ab36-38de6a06689e
Providerbamboohr
Provider Job Key93
TitleSenior/AI Engineer (m/f/d)
Normalized Title
Statusactive
Activeyes
Location TextMunich, Bavaria, 80333, Germany
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
Country
RegionBavaria
CityMunich
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://resaroai.bamboohr.com/careers/93
Apply URLhttps://resaroai.bamboohr.com/careers/93
First Seen At2026-05-30 05:52:50Z
Last Seen At2026-06-06 10:19:42Z
Last Checked At2026-06-06 10:19:42Z
Last Changed At2026-05-30 05:52:50Z
Inactive At
Source Posted At2026-03-19 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=resaroai/date=2026-06-06/2026-06-06T10-19-41-202Z-3847ba5b4a09c2248e9b5614ae7849714b0ebe68070ca10e436d186b652b1137.json
Event Fields
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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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