Senior Forward Deployed Engineer (m/f/d)

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.