AI Engineer

Job not on LinkedIn

🔥 5 minutes ago

🗣️🇩🇪 German Required

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eschbach

51 - 200 employees

eschbach's enterprise software solution for manufacturing operations provides operations teams with transparent communication and integrated data from sources like SAP and AVEVA to help teams develop better KPIs, track waste and other production outputs, and safety issues. Our award-winning Shiftconnector® platform is continuously updated thanks to the feedback from our customers. Today, Shiftconnector is used by leading chemical, pharmaceutical and other manufacturers worldwide. Check our website to learn more about Shiftconnector platform.

📋 Description

• Design and build multi-agent systems end-to-end : planning loops, sub-agent delegation, memory and context management – that reason about live operations the way an experienced operator would • Design the agent's tools and capabilities: clean, safe, composable tools and MCP (Model Context Protocol) integrations that let agents query data, run analyses, and act reliably • Implement AI agents as scalable backend services following our development and security guidelines • Collaborate closely with Data Scientists and domain experts to bring agents and models from concept to production • Continuously improve, evaluate, and optimize agent behavior in production with eval harnesses and guardrails • Translate customer requirements into effective and scalable AI solutions • Design and implement secure APIs, real-time streaming backends (SSE, WebSockets ), and backend components • Develop and maintain data access layers and pluggable data sources with strict customer data isolation • Ensure high standards of quality, performance, and security • Contribute to technical specifications and architecture decisions

🎯 Requirements

• +5 years of experience in Python and backend development ( e.g. APIs, services) • Hands-on experience building LLM agents: tool/function calling, multi-step orchestration, structured outputs, memory and context management (frameworks such as pydantic -ai, LangGraph , LangChain or CrewAI ), MCP (Model Context Protocol) • Excellent agent tool and interface design sense : how capabilities are specified, kept safe, and composed (this is what matters most to us) • Experience with API/backend frameworks ( e.g. FastAPI ) and real-time streaming • Knowledge of SQL and working with large datasets • Solid understanding of software design patterns, data structures, and software security • Experience with Kubernetes/Docker and container-based architectures is a plus • Front-end fluency (React, TypeScript, Tailwind) is a plus • Time-series ML / forecasting / anomaly detection is a plus • Fluent in English and proficient in German (minimum level B2).

🏖️ Benefits

• Great team spirit – Work with colleagues who make collaboration fun and always have each other’s backs. • A modern DevOps-focused engineering culture with autonomy and space to innovate • The opportunity to shape CI/CD foundations for a scaling SaaS product • Personal development – We support your strengths and give you the space to grow both professionally and personally. • Responsibility & creative freedom – With us, you’re encouraged to think ahead, contribute ideas, and help shape how we work. • Feel-good workplace – Enjoy a modern, ergonomic office in the heart of Bad Säckingen, complete with a rooftop terrace, free parking, and plenty of cozy spots to work or relax. • Team culture that connects – Game nights, hikes, BBQs, Christmas parties & more – we love spending time together beyond work (get a sneak peek on Instagram & Facebook!). • Flexible working – Thanks to our home-office policy, you stay connected and productive even when working remotely. • Snacks & soul food – Fresh coffee, fruit, and snacks are always available – plus, you can enjoy free, delicious lunch options from local spots in town.

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