Talents2Germany GmbH

Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE | JobSetuu

Talents2Germany GmbH

Frankfurt am Main
Full-Time

Posted 1 month ago • Via www.arbeitnow.com

Description

Job Overview

  • Source: Arbeitnow
  • Location: Frankfurt am Main
  • Job Type: Full-Time

Job Description

Standort: remote — Deutschland | Frankfurt (≤ 4 Tage/Monat Reise)

Verfügbarkeit: Ab sofort

Über die Rolle

Talents2Germany besetzt diese Position im Auftrag unseres Kunden, einem schnell wachsenden KI-Unternehmen im Bereich technologischer Lösungen für den Handel.

Wir suchen eine erfahrene Senior Fullstack Developerin oder einen erfahrenen Senior Fullstack Developer, der oder die Teil eines dynamischen, internationalen Engineering-Teams wird. In dieser Rolle übernimmst du Verantwortung für vollständige Produktfunktionen, von der Datenbank bis zur Benutzeroberfläche, und spielst eine zentrale Rolle bei der Weiterentwicklung der technischen Architektur einer kundenorientierten Plattform.

Der Tech-Stack ist modern, das Team vielfältig, und die Arbeitsweise schnell und pragmatisch. Du arbeitest eng mit Product, Design und GenAI Engineers zusammen, um Lösungen zu entwickeln, die bereits von großen Enterprise-Kunden genutzt werden.

Aufgaben

Was du aufbauen wirst

  • Konzeption und Verantwortung für End-to-End-RAG-Pipelines — von der Dokumentenaufnahme und Chunking-Strategie bis zur Retrieval-Evaluierung und Antwortqualität
  • Bewertung, Fine-Tuning und Deployment von LLMs (OpenAI, Anthropic, Open-Source) für domänenspezifische deutschsprachige Anwendungsfälle
  • Architektur robuster, skalierbarer KI-Systeme unter Einhaltung von Enterprise-Anforderungen an Zuverlässigkeit und Compliance
  • Aufbau von Evaluierungsrahmen — automatisierte Evals, Human-in-the-Loop-Tests, Regressions-Suites — zur Sicherstellung der Produktionszuverlässigkeit
  • Zusammenarbeit mit Fullstack-Entwickler:innen zur Bereitstellung von KI-Funktionen über saubere APIs und intuitive Produktoberflächen
  • Enge Zusammenarbeit mit Unternehmenskunden: Anforderungen verstehen, in technische Lösungen übersetzen und maßgeschneiderte Ergebnisse liefern
  • Verfolgung aktueller GenAI-Entwicklungen und kurzfristige Übersetzung relevanter Forschung in praktische Produktverbesserungen

Qualifikation

Was wir suchen

Technische Anforderungen

  • 5+ Jahre Softwareentwicklungserfahrung, davon mindestens 2 Jahre in angewandter KI/ML in Produktionsumgebungen
  • Tiefe Python-Kenntnisse — du schreibst sauberen, testbaren, produktionsreifen Code (nicht nur Notebooks)
  • Praktische Erfahrung mit RAG-Architekturen und Vector-Datenbanken (Pinecone, Weaviate, Qdrant o.ä.)
  • Fundiertes Wissen über mindestens einen großen LLM-Anbieter (OpenAI, Anthropic, Cohere) und Best Practices im Prompt Engineering
  • Solides Verständnis von MLOps: Modell-Versionierung, Deployment, Monitoring und graceful Degradation in der Produktion
  • Erfahrung mit Orchestrierungs-Frameworks wie LangChain, LlamaIndex o.ä.

Persönlichkeit & Arbeitsweise

  • Du überbrückst den Weg von der Forschung zur Produktion schneller als jede:r andere im Team
  • Gute Deutschkenntnisse (mindestens auf B2-Niveau und Bereitschaft, innerhalb von 6 Monaten C1-Niveau zu erreichen)
  • Sicherer Umgang mit Unklarheiten — du definierst das Problem und schlägst die Lösung vor, anstatt auf ein Spec-Dokument zu warten

Besonders willkommen

  • Erfahrung mit mehrsprachigen NLP-Aufgaben, insbesondere deutschsprachiger Textverarbeitung
  • Fine-Tuning oder RLHF-Erfahrung (LoRA, QLoRA, DPO)
  • Kenntnisse in Multi-Agent-Frameworks (LangGraph, CrewAI, AutoGen)
  • Hintergrund in Enterprise-KI-Deployments, Information Retrieval oder Wissensgraphen
  • Open-Source-GenAI-Projekte, technische Artikel oder Community-Beiträge (GitHub, HuggingFace, arXiv)

Benefits

  • Data Science- und KI-Beratung bilden den Schwerpunkt unserer Arbeit. Dich erwarten abwechslungsreiche Projekte sowie moderne NLP Use Cases bei renommierten Kunden.
  • Du arbeitest an fachlich anspruchsvollen Fragestellungen und vielseitigen Projekten. Dadurch entwickelst du deine Expertise in Data Science, Machine Learning und KI kontinuierlich weiter und profitierst von einer steilen Lernkurve.
  • Wir bieten dir umfassende Möglichkeiten zur fachlichen, methodischen und persönlichen Weiterentwicklung.
  • Dich erwarten flache, teamorientierte Strukturen und ein wertschätzendes, kollegiales Arbeitsumfeld.
  • Wir legen großen Wert auf ein offenes, inklusives, chancengerechtes und diverses Miteinander.
  • Kurze Entscheidungswege, agile Arbeitsweisen, regelmäßige Feedbackgespräche im Jahresverlauf sowie ein Mentoring-Programm unterstützen dich in deiner Entwicklung.
  • Wir bieten ein faires und transparentes Vergütungsmodell mit klaren Gehaltsstufen, die regelmäßig an aktuelle Marktentwicklungen angepasst werden.

Wie wir arbeiten

Vollständig remote-first mit einem internationalen Team. Gelegentliche Reisen nach Frankfurt erforderlich (bis zu 4 Tage/Monat).

Find Jobs in Germany on Arbeitnow

Expert Career Tips for Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE Roles

To succeed in a competitive market as a Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE, you need more than just technical skills. Here are some expert strategies to elevate your profile:

  • Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
  • Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
  • Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE requirements.
  • Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
  • Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

  1. Resume screening
  2. HR call
  3. Skill interview
  4. Final manager interview
  5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Frankfurt am Main and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Frankfurt am Main, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

  • Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
  • AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
  • Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
  • Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior GenAI Engineer LLMs/ RAG/ Python (w/m/d) remote in DE position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.

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