Forward Deployed Engineer (all genders)

eraneos

Deutschland

Hybrid

EUR 110.000 - 170.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Flexible hybrid work
Gym membership
Company bike

Zusammenfassung

eraneos in Germany seeks a founding-member senior AI engineering lead to close the gap between AI strategy and production. You’ll own end-to-end delivery for enterprise clients, from initial idea to live systems delivering measurable value, shaping both technical solutions and team operations.

You’ll design and build agentic systems, RAG pipelines, and LLM integrations in regulated environments, collaborate with senior stakeholders, and guide architecture decisions, software delivery, and

Qualifikationen

  • Bachelor's degree or higher in CS, Math, Physics, Data Science or related field.
  • German at C1 and English professional proficiency.
  • Several years of senior engineering experience with architecture and business impact.

Aufgaben

  • Own end-to-end architecture and delivery of AI solutions from scoping to production.
  • Design agentic systems, retrieval-augmented generation pipelines and LLM integrations for enterprise.
  • Use AI-assisted coding tools to build features and deployment pipelines.
  • Engage with clients from the first strategic conversation and influence commercial direction.
  • Ensure production deployment and accountability for the outcome.
  • Present and defend technical choices to executive client audiences.

Ausbildung

Bachelor's degree or higher in CS / Math / Physics / Data Science / Business Informatics or related field

Jobbeschreibung

Role overview

The position sits within a newly formed team dedicated to closing the gap between AI strategy and production deployment for major enterprise clients. Work spans the full lifecycle of an initiative, from the initial idea through to a live system delivering measurable business value. This is a founding-team role where engineers help shape both the technical solutions and the way the team operates, working directly with senior decision-makers rather than through layers of handoff.

Responsibilities
  • Own the architecture and end-to-end technical delivery of AI solutions, from early scoping and strategy through production deployment and outcome measurement.
  • Design and build agentic systems, retrieval-augmented generation pipelines, and large language model integrations inside real-world enterprise environments.
  • Use AI-assisted coding tools as part of the daily workflow to build features, accelerate reviews, and stand up deployment pipelines.
  • Engage from the very first strategic conversation, helping frame the problem and contributing to the commercial direction alongside senior stakeholders.
  • Stay accountable for the outcome, shepherding the solution into production rather than handing off once a specification is finalised.
  • Present and defend technical choices directly with executive audiences on the client side.
Requirements
  • A founder- and product-oriented mindset, taking ownership of the entire outcome rather than a single workstream.
  • Several years of hands-on engineering experience at a senior level, paired with the ability to think beyond code into architecture, strategy, and business impact.
  • A completed degree (Bachelor's or higher) in Computer Science, Mathematics, Physics, Data Science, Business Informatics, or a comparable field.
  • German at C1 level or above, plus full professional proficiency in English.
  • Willingness to work on-site with clients on a regular basis.
  • Comfort learning quickly and operating effectively inside unfamiliar, often highly regulated environments.
Nice to have
  • Exposure to one or more of the following sectors: financial services, transportation and logistics, energy and utilities, life sciences, healthcare, public sector, automotive, or defence.
  • Prior experience taking initiatives from a blank-page concept through to a production system that created measurable value.
Benefits and work setup
  • Flexible and hybrid working models with options for remote work and adaptable hours, plus the possibility of a sabbatical.
  • A company bike program and a subsidised gym and wellness membership to support health and wellbeing.
  • Modern, centrally located offices in Hamburg, Munich, and Düsseldorf, with additional hub locations across major German cities.
  • An international network of more than 1,300 colleagues, regular cross-office events, complimentary drinks, snacks, and premium coffee.
  • A culture built on trust, ownership, and continuous growth, with flat hierarchies, tailored learning opportunities, and individualised career development.
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