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# AI Systems and Automation Engineer

- **Company:** Enmacc GmbH
- **Location:** München, Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Spreadsheets, Software as a Service, Cloud Computing, Databases, Continuous Integration, Relational Databases, Cursor, Linux, Python (Programming Language), PostgreSQL, Node.Js, Productivity Software, Queueing Systems, OpenAI, Microsoft Copilot, Next.js, Software Engineering, Software Systems, SQL Databases, Data Streaming, TypeScript, Web Services, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, AI Coding Agents, Backend, Agentic-AI, Event Driven Architecture, Low-code, Enterprise Integration, Apache Kafka, Gsuite, Claude, Google Gemini, Restful APIs, Model Context Protocol, Code Restructuring, Webhooks, Docker
- **Published:** November 5, 2026
- **Apply:** https://startup.jobs/ai-systems-and-automation-engineer-m-f-d-enmacc-10682940

## About the Role

* Proven Software Engineering Track Record: You bring 3-5+ years of professional software engineering experience building, testing, and operating production backend or full-stack web services (strong proficiency in Java, Python, TypeScript/Node.js, or Go).
 * AI-Native Engineering Velocity: You use AI coding tools (such as Claude Code, Cursor, or Copilot) daily to write, refactor, and test code significantly faster-paired with strong engineering judgment to review, validate, secure, and stand behind every line you ship.
 * Production LLM & Agentic Integration Skills: You have hands-on experience integrating major LLM APIs (Anthropic Claude, OpenAI, Google Gemini) into real software projects, using structured outputs, function/tool calling, RAG patterns, evaluation frameworks, and agent protocols (such as MCP).
 * Strong Systems & Architecture Fundamentals: You have a solid grasp of REST APIs, webhooks, relational databases (SQL/PostgreSQL), data modeling, event-driven architectures, Docker, Linux, and CI/CD pipelines on cloud infrastructure (AWS or GCP).
 * Pragmatic Full-Stack Capability: While your core strength is building reliable backend systems and APIs, you can comfortably spin up clean, functional web interfaces or internal/customer portals (e.g., using React, Next.js, or modern UI frameworks) with the help of AI coding tools.
 * Engineering Rigor Over "Vibe-Coding": You know the difference between a quick hack and a maintainable service. You know when a problem calls for an LLM agent and when it calls for 50 lines of deterministic code.
 * High-Agency Problem Solver: You thrive on talking directly to engineers, operations teams, and customer-facing stakeholders, translating messy real-world bottlenecks into elegant software solutions.
 * Communication: Excellent written and spoken English skills., * Experience building developer productivity tools, CLI utilities, Slack apps, or internal developer portals.
 * Familiarity with workflow orchestration engines (e.g., Temporal, n8n in self-hosted/code-first setups) or event streaming (e.g., Kafka, message queues).
 * Prior exposure to B2B SaaS, FinTech, EnergyTech, or regulated customer onboarding/approval workflows.

## Description

* Professionalize Workflows into Production Web Services: Take manual, ad-hoc, or brittle processes (such as Google Forms, spreadsheet workflows, or fragile low-code scripts) and re-architect them into resilient, version-controlled web services with clean APIs, databases, robust authentication, and CI/CD pipelines.
 * Build Customer-Facing & Platform Satellite Tools: Develop and run operational applications used directly by customers and internal operations-including customer onboarding portals, automated approval engines, document/KYC verification pipelines, and administrative services that support the core enmacc platforms.
 * Engineer AI-Powered & Agentic Systems: Design and implement LLM-powered services, multi-step agentic workflows, and custom Model Context Protocol (MCP) servers that safely connect LLMs to our internal APIs, SaaS tools, and databases.
 * Lead by Example in Agentic Software Engineering: Heavily utilize AI coding agents to deliver full-stack and backend systems rapidly-while championing best practices, reusable skills/prompts, and agentic engineering workflows across the wider engineering team.
 * "You Build It, You Run It": Own the full lifecycle of your services from stakeholder problem discovery and architectural design to automated testing, containerized deployment, monitoring, and iteration.