Job
In this role, you will develop an AI platform for processing requests in steel sourcing, improving data extraction and validation pipelines and implementing agentic matching workflows.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- We are looking for a Senior AI Engineer to help evolve our existing AI platform for steel sourcing and quotation workflows.
- Our platform processes emails and documents, extracts structured product specifications, and uses AI agents to match customer requirements with supplier offers and available inventory.
- You'll improve these capabilities by combining steel domain knowledge, retrieval, and reasoning to produce accurate, explainable results.
- This is a hands-on senior role with technical leadership responsibilities.
- You'll write code, investigate production issues, and deliver improvements while helping shape our architecture and engineering practices.
- Own and improve AI pipelines that extract and validate information from customer requests, supplier inventories, emails, PDFs, spreadsheets, and images.
- Build agentic matching workflows that interpret customer requirements, retrieve candidate products, compare specifications and constraints, and rank suitable offers—with clear explanations and human review where needed.
- Design and improve agent harnesses, including context management, tool access, workflow state, retries, stopping conditions, and human review.
- Build and operate Model Context Protocol (MCP) servers and clients that connect agents with tools, business systems, and domain knowledge, with appropriate authentication, permissions, monitoring, and error handling.
- Strengthen retrieval so agents interpret steel terminology and specifications correctly.
- Evaluate and integrate commercial and open-source models based on accuracy, latency, cost, and deployment requirements.
- Use Langfuse to manage prompts, trace agent behavior, and run evaluations that measure extraction and matching quality.
- Turn production failures and user corrections into evaluation cases and improvements to prompts, tools, and execution logic.
- Extend our Python services and integrate AI capabilities into existing product workflows.
- Work with business colleagues to prioritize problems, guide technical decisions, and mentor engineers while remaining closely involved in implementation.
Our expectations of you
Qualifications
- Practical understanding of structured extraction, retrieval, tool calling, and AI evaluation.
- A systematic approach to debugging across data, prompts, models, tools, and application code.
- The ability to make focused improvements in an existing codebase, explain architectural trade-offs, and support other engineers.
- Deploying, serving, and optimizing open-source language models.
- Document processing, vision models, or multilingual extraction.
- Procurement, marketplaces, or industrial workflows.
Experience
- Strong Python and backend engineering skills, with experience maintaining and evolving production systems.
- Hands-on experience shipping LLM applications and improving them after launch.
- Hands-on experience with all three: Pydantic AI or a similar platform, LiteLLM, and Langfuse, covering agent orchestration, model routing and gateway operations, prompt management, tracing, and evaluations.
- Production experience building and operating MCP servers or clients, including authentication, permissions, monitoring, and error handling.
- Experience building reliable agent execution systems with clear tool interfaces, context and state management, failure recovery, and quality controls.
- Practical experience building search, entity resolution, or domain knowledge systems.
- Experience with SQL databases, asynchronous processing, APIs, automated testing, and cloud infrastructure.
- Helpful additional experience: Agentic matching, recommendation systems, or ranking workflows that combine structured constraints, semantic retrieval, and domain knowledge.
- Prior steel industry experience isn't required. Curiosity and attention to detail are.
What we offer
- You'll work on an existing product with concrete problems to solve and direct feedback on your work.
- You'll have the opportunity to influence technical direction, improve how the team builds AI systems, and see your changes support everyday commercial workflows.
Topics you will work on
Job locations
About your employer
Vanilla Steel GmbH, based in Berlin, is an advanced company that digitizes trading processes in the steel and metal trade. A small, technology-oriented team works on systems for the automated processing of inquiries and offers. The company primarily targets steel traders and plants in the DACH region and was founded in 2020.
- Startup
- Onsite
- Internet, IT, Telecommunication
More jobs
These jobs might also interest you
Hello, let's say WE! We - the HUK-COBURG Insurance Group - are among the top 10 in Germany. Founded over 90 years ago, we are now the leading insurer for private households with over 13 million customers and the largest German auto insurer. Our...
The role As a Forward Deployed AI Engineer, you go directly into our specialist departments, understand the processes, and develop production-ready AI and automation solutions that will fundamentally change the way the entire GGW Group operates. You do...
You actively shape the technical development of our software products and influence their long-term architecture. You develop our core applications primarily using C# as the central programming language and technological foundation. You design, develop,...
