AI Engineer (m/f/d)

Blackfield Ai Ag; Bremen; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Projects at the forefront of generativ

Direct contact with clients

Individual development through培训 and 讲

Company fitness

Mobility

Job summary

Blackfield Ai Ag is seeking an AI Engineer to bring generative AI into production for client projects. You’ll work with business and IT teams to identify where AI agents add value, and develop end-to-end solutions from prototype to go-live.

You’ll apply retrieval-augmented generation, tool use, and multi-step workflows, while ensuring quality through tests and guardrails for auditors. On-site collaboration with clients is required.

Qualifications

• Completed degree in computer science, data science, mathematics, or a related field.
• 2-4 years of experience in software development or a comparable technical field, ideally with LLM applications.
• Strong experience with TypeScript and modern web frameworks.
• Hands-on experience with AI agents and LLM tooling (e.g., Claude Code, Codex) is a plus.
• Good understanding of APIs, version control (Git), and containerization (Docker).
• Excellent communication skills and ability to interact with clients directly; comfortable presenting to management.

Responsibilities

• Work closely with clients to understand workflows and identify AI-enabled improvements.
• Refine use cases through workshops; assess volume, stability, and measurable definitions.
• Develop AI agents and LLM applications from prototype to production, using retrieval-augmented generation and multi-step workflows.
• Process unstructured inputs and integrate AI solutions with client systems.
• Ensure quality via rigorous evaluations, guardrails, tests, and audit traceability.
• Explain complex technical concepts to both IT and business stakeholders; align expectations.

Skills

LLM applications

TypeScript

React

NestJS

APIs

Git

Docker

Communication skills

German language (C1/C2)

English language

Education

Degree in computer science, data science, mathematics, or similar

Tools

Docker

Git

AWS

Azure

GCP

Job description

As an AI Engineer (m/f/d), you bring generative AI to where it counts: into production at our clients. You work directly with business teams, find the processes where an AI agent truly makes a difference, and build it with modern AI coding tools from prototype to go-live.

Responsibilities

Work close to the client: understand real workflows together with business and IT teams, and recognize where an AI agent pays off - and where it does not

Sharpen use cases in workshops: Is there real volume, is the process stable, can "correctly processed" be defined measurably?

Develop AI agents and LLM applications from prototype to production system - with retrieval-augmented generation, tool use, and multi-step workflows

Process unstructured inputs (PDFs, scans, emails, voice), encode domain rules, and integrate with the client's systems

Prove quality before an agent goes live: evaluations, guardrails, tests, and traceability for auditors and regulators

Translate between worlds: explain the same system technically to the client's IT and in outcome-focused terms to business teams and management

Bring what you learn in projects back to the team and into our platform, so each use case makes the next one faster

Qualifications

A completed degree in computer science, data science, mathematics, or similar

You want your solutions to be used in day-to-day work and take ownership through to go-live

2-4 years of experience in software development or a comparable technical field, ideally with LLM applications

You work with AI coding agents (e.g. Claude Code, Codex, Cursor) as a matter of course and direct them confidently to build, debug, and ship

You understand unfamiliar systems quickly: you read your way into a codebase or system landscape and see what it does, why, and where the risks are

Solid TypeScript skills (e.g. React, NestJS) and experience with APIs, Git, and containers (Docker)

Strong communication skills and enjoyment of direct client contact - in scoping, workshops, and managing expectations

Enthusiasm for generative AI and an urge to try new models and techniques as soon as they appear

Willingness to work on-site with our clients

German at C1/C2 level, plus confident written and spoken English

Nice to Have

Experience in regulated industries such as banking, insurance, or the public sector

Hands‑on experience with agent frameworks, evaluating LLMs and agents, and prompt and context engineering

Experience taking AI from prototype to production - not just demos

Experience with cloud environments (AWS/Azure/GCP) or running language models on your own infrastructure

Open‑source contributions or publications on agents and applied AI

What We Offer

Projects at the forefront of generative AI: the newest models and techniques, deployed at clients for whom reliability and traceability are mandatory

Consultants and developers on the same projects: you see an idea become a use case and then a running system

Direct contact with clients and end-to-end responsibility for your own use cases

Individual development through training, certifications, and workshops

Insights into various industries and company sizes

Personal growth with clear prospects toward a senior role

Case‑team events & attractive employee benefits (company fitness, mobility)

Don't tick every box? Results from your projects convince us more than a complete checklist. If you want to build AI solutions that actually run, we want to hear from you.