AI Engineer – Agentic AI – Remote (all genders)

Job Overview

We are a forward‑thinking SaaS company serving the chemical and pharmaceutical manufacturing industry, focused on engineering excellence, AI innovation, and delivering high‑quality cloud‑native solutions. Our teams collaboratively build reliable, scalable software that helps customers operate safely, efficiently, and intelligently.

Position

AI Engineer (all genders) – design and build autonomous agents in our AI suite, bringing agentic design from concept into reliable, scalable production across our platform.

Responsibilities

• Design and build multi‑agent systems end‑to‑end: planning loops, sub‑agent delegation, memory and context management that reason about live operations like an experienced operator would.

• Design the agent's tools and capabilities: clean, safe, composable tools and MCP (Model Context Protocol) integrations that allow agents to 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 optimise agent behaviour in production with evaluation 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.

Qualifications – Hard Skills

• +5 years of experience in Python and backend development (APIs, services).

• Hands‑on experience building LLM agents: tool/function calling, multi‑step orchestration, structured outputs, memory and context management (frameworks such as py‑langchain, LangChain, CrewAI, etc.), MCP.

• Excellent agent tool and interface design sense.

• 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 machine learning / forecasting / anomaly detection is a plus.

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

Qualifications – Soft Skills

• Team‑oriented and comfortable working across disciplines.

• Strong analytical thinking and problem‑solving mindset.

• Hands‑on, proactive, and solution‑driven.

• Passionate about staying up to date with the latest developments in AI.

• Strong communication and stakeholder management skills.

• Passion for building scalable, high‑quality software and AI solutions that users can trust.

Offer

• Great team spirit and collaborative culture.

• Modern DevOps‑focused engineering culture with autonomy.

• Opportunity to shape CI/CD foundations for a scaling SaaS product.

• Personal development support.

• Responsibility & creative freedom.

• Ergonomic office in Bad Säckingen with rooftop terrace, free parking, and cosy spots.

• Flexible working with home‑office policy.

• Snacks, fresh coffee, fruit, and free lunch options from local spots.

Additional Information

Contact person: Julia Lüber (career@eschbach.com). For questions, reach out to her.

About Us

Eschbach GmbH, headquartered in Bad Säckingen, and Eschbach North America Inc. with offices in Boston, provide Plant Process Management solutions for the chemical and pharmaceutical industry. Our Shiftconnector® platform is designed for process industry operations, and we have been advancing the industry for nearly 20 years.