Job
In dieser Rolle entwickelst du eine AI-Plattform für die Verarbeitung von Anfragen im Stahlbeschaffungsprozess, indem du Pipelines für die Extraktion und Validierung von Daten verbesserst und agentische Matching-Workflows implementierst.
Job-Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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 tradeoffs, and support other engineers.
- Deploying, serving, and optimizing open-source language models.
- Document processing, vision models, or multilingual extraction.
- Procurement, marketplaces, or industrial workflows.
Erfahrung
- 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 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.
Unser Angebot
- You'll work on an existing product with concrete problems to solve and direct feedback on your work.
- You'll have scope to influence technical direction, improve how the team builds AI systems, and see your changes support everyday commercial workflows.
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Die Vanilla Steel GmbH mit Sitz in Berlin ist ein fortschrittliches Unternehmen, das die Handelsprozesse im Stahl- und Metallhandel digitalisiert. Ein kleines, technologieaffines Team arbeitet an Systemen zur automatisierten Bearbeitung von Anfragen und Angeboten. Das Unternehmen fokussiert sich vor allem auf Stahlhändler und Werke im DACH-Raum und wurde im Jahr 2020 gegründet.
- Startup
- Onsite
- Internet, IT, Telekom
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