7 beste Stellen als data engineer in dietzenbach – aktuell auf Personalsuche

Senior Forward Deployed Engineer (m/f/d)
EPAM Systems, Inc. —Frankfurt am Main
- Hybrides Arbeiten
- Master
13 Tage
Testautomation Expert (w/m/d)
Capgemini —Frankfurt am Main
- Per E-Mail
- DevOps
- Englisch
- Mit Reiseanteil
- Weiterbildungsprogramme
(Senior) Cloud Engineer (w/m/d)
Sogeti —Frankfurt am Main
- Per E-Mail
- DevOps
- Englisch
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- Weiterbildungsprogramme
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DevOps Consultant Kubernetes (m/w/d)
Devoteam Innovative Tech Germany —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Analysefähigkeit
- Scripting
- Softwareentwicklung
Direkt bewerben
Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik
Alexander Thamm GmbH —Frankfurt am Main
- Vollzeit
- Azure
- Master
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Senior Tools Programmer (editor)
Cloud Imperium Games —Frankfurt am Main

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Senior Forward Deployed Engineer (m/f/d)

EPAM Systems, Inc. -
Frankfurt am Main

Jetzt bewerben

Details zur Stelle

vor 13 Tagen

Qualifikationen

Master

Vollständige Stellenbeschreibung

We're looking for a Senior Forward Deployed Engineer (m/f/d) to join our team in Germany in a hybrid working mode.

In this role, you will design and deliver AI-native solutions where Large Language Models (LLMs) and advanced agentic systems generate real business value. You will work hands-on to build scalable architectures, write production-grade code, and create evaluation frameworks that ensure high performance and reliability.

You will collaborate directly with stakeholders and end users to deeply understand their workflows, integrate AI technologies seamlessly into business processes, and improve operations and decision-making. This position demands technical excellence, user-centric problem-solving, and the ability to deliver innovative solutions aligned with client goals.

Responsibilities

Build AI-native solutions end-to-end, including agents, Retrieval-Augmented Generation (RAG) workflows, tool harnesses and evaluation frameworks
Design fault-tolerant agent workflows with retries, fallbacks and human-in-the-loop mechanisms to ensure reliability
Translate business and domain expertise into scalable, repeatable AI solutions
Write robust production-grade Python code covering APIs, integrations and secure deployment
Optimize retrieval and context engineering capabilities using vector databases, embeddings and hybrid search
Develop observability tools with platforms such as LangSmith or Arize Phoenix to monitor performance
Deploy solutions securely in cloud environments (AWS, Azure or GCP) using containerized deployments and CI/CD pipelines
Conduct user testing and workflow analysis to validate real-world usability
Collaborate with cross-functional teams to assess technical feasibility and shape use cases

Requirements

7+ years of engineering experience delivering production-grade AI or LLM-based systems
Expertise in agent design and RAG techniques (vector databases, hybrid search, embedding optimization)
Advanced proficiency in Python and strong software engineering fundamentals
Experience with frameworks such as LangChain, LangGraph or Semantic Kernel and familiarity with major LLM providers (OpenAI, Anthropic, Google Gemini)
Proven ability to design evaluation pipelines and apply AI observability tools
Hands-on deployment experience with major cloud platforms and CI/CD practices
Strong communication skills for both technical and non-technical audiences
Fluency in German and English at C1 level or higher

Nice to have

Experience with A/B testing and iterative improvements based on usage data
Background in NLP or applied machine learning, including production deployment
Knowledge of advanced retrieval methods and enterprise-grade context engineering
Familiarity with AI governance, compliance, security guardrails and injection prevention
Exposure to enterprise AI platforms such as AWS Bedrock or Databricks Genie
Previous work in client-facing or pre-sales consulting roles

We offer

30 days holiday per annum
Company Pension Scheme
Regular performance assessments
Discount on Fitness-First Black Membership
bitkom - Corporate Benefits
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
Friendly and enjoyable working team
Regular corporate and social events
Flexible and remote working opportunities
Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.

Jetzt bewerben

Erweiterte Suche

data engineer Jobs in dietzenbach

Senior Forward Deployed Engineer (m/f/d)

Testautomation Expert (w/m/d)

(Senior) Cloud Engineer (w/m/d)

Senior Business Analyst

DevOps Consultant Kubernetes (m/w/d)

Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik

Senior Tools Programmer (editor)

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