AI Engineer – Agentic AI – Remote (all genders)

eschbach

8d • Remote

About The Position

We are looking for a motivated AI Engineer to design and build autonomous agents at the heart of our AI suite – to bring agentic design from concept into reliable, scalable production across our platform. We are a forward-thinking SaaS company serving the chemical and pharmaceutical manufacturing industry, with a strong focus on engineering excellence, AI innovation, and delivering high-quality cloud-native solutions. Our teams work collaboratively to build reliable, scalable software that helps our customers operate safely, efficiently, and intelligently.

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
• 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
• Fluent in English and proficient in German (minimum level B2)

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Great team spirit
• 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
• 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
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed