Home › Companies › Attempto › GenAI Engineer (m/w/d)
GenAI Engineer (m/w/d)
Attempto · München · Remote · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Attempto |
| Title | GenAI Engineer (m/w/d) |
| Normalized title | - |
| Department / team | NL München / Softwareentwicklung |
| Location | München |
| Work model | Remote / Remote |
| Employment type | Part Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-01-27 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Attempto. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in NL München. | Open |
| Work model jobs | Active Remote 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 | Attempto |
| Source | 366dcdd1-55c0-4ccb-b6bf-e0d2cdb2dc6f |
| ATS provider | Personio |
Description
Your mission
Your Mission: Next-Generation Intelligent Systems
Design and Implement AI Solutions
Focus on GenAI: Conceptualize and implement modern RAG architectures (Retrieval Augmented Generation), agent-based workflows, and generative AI use cases.
Modeling & Integration: Select and fine-tune LLMs and integrate them into productive business processes.
Foundation: While your focus is on Generative AI, you leverage your knowledge of classical machine learning and deep learning to create hybrid solutions where LLMs alone are not sufficient.
Ownership of End-to-End Solutions
Production-Ready AI: You take GenAI applications from the initial prompt idea through prototyping to scalable deployment (LLMOps).
Data & Orchestration: Build and optimize data foundations for agents and vector databases, and orchestrate complex workflows and agents.
Quality Assurance: Ensure stability, evaluate model outputs (guardrails), and optimize performance.
Advisory & Collaboration
Technology Translator: You explain to stakeholders the difference between “hype” and real business value and translate complex architectures into clear decision-making proposals.
Interdisciplinary Work: Collaborate closely with business analysts and software engineers to seamlessly embed AI into existing software ecosystems.
Continuous Learning & Knowledge Sharing
State-of-the-Art: You monitor rapid developments in LLMs, multimodal models, and agent frameworks.
Knowledge Transfer: Actively contribute to internal formats and prototype new features for the attempto Academy.
Your profile
Technical Profile (Focus on GenAI)
Frameworks: You are confident in working with one or more LLM/agent orchestration tools such as LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, LlamaIndex, or Haystack.
GenAI Stack: Practical experience with prompt engineering, embeddings, and building and managing vector databases (e.g., Pinecone, Weaviate, Milvus, or Chroma).
Language Skills: Excellent Python knowledge forms your foundation.
Technical Understanding & Fundamentals
Cloud & Deployment: Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or GCP Vertex AI) as well as Docker/Kubernetes.
Architecture: Solid understanding of APIs, microservices, and data pipelines.
AI Fundamentals: You understand the mathematics behind deep learning and have worked with libraries such as PyTorch or TensorFlow, which helps you understand GenAI models in depth.
Work Style
Pioneering Spirit: You are eager to work in a field that reinvents itself every week.
Analytical Skills: You work in a structured manner and maintain an overview even in complex system architectures.
Communication: You can convey technical concepts confidently and appropriately for your audience and have excellent German and English skills.
Nice to Have
Advanced experience in MLOps or data engineering.
Project experience in regulated environments (e.g., banking, insurance).
Knowledge of frontend technologies (e.g., Streamlit, React, Copilotkit/AG-UI) for rapid creation of AI demos and compelling GenAI web apps.
Why us?
JobRad – leasing offer with employer subsidy JobTicket – tax-free employer contribution Contractually regulated training – targeted personal and professional development Company pension plan – additional employer contribution to the insurance premium Cool office with plenty of space for creativity – remote work from home possible depending on the project Shaping attempto – management actively involves employees Mentoring program – mentors for new employees Numerous company events – summer party, Oktoberfest celebration, year-end party, and more Knowledge transfer – various internal training and knowledge-sharing opportunities Fit-at-work programs – health days, company runs, and more Regional assignment – mostly local and long-term project deployment Successful teamwork – fostered through openness and team cohesion Innovative projects – at client sites and in the attempto Innovation Workshop
Noch Fragen?
We’re happy to answer them!
Telefon: 089 2170377-77 E-Mail: [email protected]
Full job record
| Job ID | 25edc8be312d21538a72c7fc1d9c917001222d47 |
| Org ID | 5cf0d6e7-8d6e-4d25-a4a1-8b38468289ea |
| Source ID | 366dcdd1-55c0-4ccb-b6bf-e0d2cdb2dc6f |
| Board ID | 366dcdd1-55c0-4ccb-b6bf-e0d2cdb2dc6f |
| Provider | personio |
| Provider Job Key | 2509435 |
| Title | GenAI Engineer (m/w/d) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | München |
| Department | NL München |
| Team | Softwareentwicklung |
| Employment Type | part_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | München |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://attempto.jobs.personio.de/job/2509435?language=en |
| Apply URL | https://attempto.jobs.personio.de/job/2509435?language=en |
| First Seen At | 2026-05-30 05:45:59Z |
| Last Seen At | 2026-06-22 07:57:12Z |
| Last Checked At | 2026-06-22 07:57:12Z |
| Last Changed At | 2026-05-30 05:45:59Z |
| Inactive At | — |
| Source Posted At | 2026-01-27 14:40:13Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=attempto.de/date=2026-06-22/2026-06-22T07-57-12-319Z-f1e5ea83654af7189728bf500bfea8255f6fd81c17a326a4587380cf0d76d4ee.json |
Event Fields
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"value": "<div><div><div><div><div><p><strong><span style=\"font-size:15px;\">Your Mission: Next-Generation Intelligent Systems</span></strong></p><p><strong>Design and Implement AI Solutions</strong></p><ul><li><p><strong>Focus on GenAI:</strong> Conceptualize and implement modern RAG architectures (Retrieval Augmented Generation), agent-based workflows, and generative AI use cases.</p></li><li><p><strong>Modeling & Integration:</strong> Select and fine-tune LLMs and integrate them into productive business processes.</p></li><li><p><strong>Foundation:</strong> While your focus is on Generative AI, you leverage your knowledge of classical machine learning and deep learning to create hybrid solutions where LLMs alone are not sufficient.</p></li></ul><p><strong>Ownership of End-to-End Solutions</strong></p><ul><li><p><strong>Production-Ready AI:</strong> You take GenAI applications from the initial prompt idea through prototyping to scalable deployment (LLMOps).</p></li><li><p><strong>Data & Orchestration:</strong> Build and optimize data foundations for agents and vector databases, and orchestrate complex workflows and agents.</p></li><li><p><strong>Quality Assurance:</strong> Ensure stability, evaluate model outputs (guardrails), and optimize performance.</p></li></ul><p><strong>Advisory & Collaboration</strong></p><ul><li><p><strong>Technology Translator:</strong> You explain to stakeholders the difference between “hype” and real business value and translate complex architectures into clear decision-making proposals.</p></li><li><p><strong>Interdisciplinary Work:</strong> Collaborate closely with business analysts and software engineers to seamlessly embed AI into existing software ecosystems.</p></li></ul><p><strong>Continuous Learning & Knowledge Sharing</strong></p><ul><li><p><strong>State-of-the-Art:</strong> You monitor rapid developments in LLMs, multimodal models, and agent frameworks.</p></li><li><p><strong>Knowledge Transfer:</strong> Actively contribute to internal formats and prototype new features for the attempto Academy.</p></li></ul></div></div></div></div></div>"
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"name": "Noch Fragen?",
"value": "<span style=\"color:rgb(66,66,66);font-family:Roboto, sans-serif, Inter, Arial, Helvetica, sans-serif;font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;\"><strong>We’re happy to answer them!</strong></span><br><br><span style=\"color:rgb(66,66,66);font-family:Roboto, sans-serif, Inter, Arial, Helvetica, sans-serif;font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;\"><strong><span style=\"color:rgb(31,31,31);font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;\">Telefon: </span><a style=\"border:0px solid;margin:0px;color:inherit;text-decoration:underline;font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\" href=\"tel:+4989217037777\">089 2170377-77</a><br style=\"border:0px solid;margin:0px;color:rgb(31,31,31);font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><span style=\"color:rgb(31,31,31);font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;\">E-Mail: </span><a style=\"border:0px solid;margin:0px;color:inherit;text-decoration:underline;font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\" href=\"mailto:[email protected]\">[email protected]</a></strong></span>"
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