Senior AI Engineer (f/m/d)

For an international customer we are looking for a Senior AI Engineer (f/m/d).

Your tasks will be:

Design, build, evaluate andmaintainAI-driven software systems that solve real engineering and documentation challenges—ensuring reliability, maintainability, and long-term value at scale. Your work is deeply softwareengineering–driven, with AI as a powerful enabler.

Turn User Problems into Productive AI Solutions

• Bridge the Gap:Engage with internal stakeholders across engineering, tendering, and operations to deeply understand user needs, document workflows, andidentifypain points.

• Design for Value:Translate complex user requirements into AI-enabled concepts and service designs that deliver measurable business value, moving beyond prototypes to real-world impact.

• Lead AI Evaluation & Prompt Engineering:Treat prompt engineering as a scientific discipline; design and execute rigorous evaluation strategies to measure output quality, retrieval accuracy, and system behavior.

• Drive Data-Centric Development:Oversee data quality standards and dataset curation to ensure our models are grounded inaccurate, high-value context.

• Mentor & Guide:Lead working students and junior talent through data science explorations, guiding them in dataset creation, experimental evaluation, and the iterative improvement of AI capabilities.

• Build Production AI Services:Develop andmaintainhigh-quality AI solutions, focusing on model integration, semantic indexing, and advanced retrieval architectures (LLMs, RAG, hybrid retrieval, and vector search).

• Drive End-to-End Delivery:Own features fully—from requirements and design to implementation, testing, deployment, and monitoring—while ensuring robust CI/CD practices and high coding standards.

• Engineer Scalable Systems:Develop resilient backend APIs, agentic AI workflows, and data pipelines that ensure reliability and observability, strictly adhering to modern engineering standards

Following know-how is required:

• 5+ yearsof experience in software engineering, with a strong focus on AI, NLP, or Information Retrieval.

• Generative AI Stack:Deep knowledge of NLP, LLMs, and Prompt Engineeringas a structured discipline.

• Production Mindset:A proventrack recordof delivering production-grade software, not just prototypes or notebooks. You have experience operating AI-backed services in enterprise settings.

• Process Mastery (SDLC & CRISP-DM):You bridge the gap between experimental Data Science (CRISP-DM) and rigorous Software Engineering (SDLC). You know how to structure iterative AI experiments into deterministic, reliable release cycles.

• Advanced Python Proficiency:You writeclean, composed, and typed Python (3.11+) code. Youutilizemodern features (async/await,Pydantic) and manage dependencies/packages effectively.

• Software Craftsmanship & Quality:You treat AI code as production software. This means writing comprehensive tests (pytest, mocking), enforcing code quality via pre-commit hooks (ruff,mypy), and adhering to strict Git workflows (merge requests, code reviews).

• Development Autonomy:You take ownership of your local development environment and tooling. You are comfortable setting up Docker containers and managing your own configuration.

• Retrieval Architectures:Hands-on experience with RAG, hybrid retrieval strategies, GraphRAG, and vector search technologies (e.g., OpenSearch).

• Evaluation:Experience designing automated evaluation pipelines to benchmark AI output quality and retrieval performance.

• Nice to Have: experience with cloud-based AI platforms (AWS Bedrock, Azure OpenAI), knowledge of Model Context Protocol (MCP)and modern API interface standards.

• Fluent German and English (min. C1 or comparable)

Order type:

C ontract

Location:

Berlin/Remote

Start:

asap

Duration:

6 months (with option of contract extension)

If you are interested, please provide your hourly rate / fee and availability. We look forward to receiving your portfolio in a Word-readable format, indicating the reference number 4120 to nadya.baldan@agex-it.de . For further information regarding the project, Nadezda Baldandorzhieva (+49 (0)176 427 481 65 ) gern zur Verfügung.