Full Stack AI Engineer

Zalion; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An innovative AI startup in Munich seeks a developer to create and deploy AI agents for procurement automation. Candidates should have advanced Python skills and experience with RESTful API development. The position offers significant autonomy and the chance to impact real customer solutions rapidly. Ideal applicants have 4+ years of experience managing production features. The tech stack includes AWS and LangChain among others, and a competitive salary with equity is available.

Leistungen

Competitive salary + meaningful equity

High-end equipment

Massive autonomy, zero bureaucracy

Qualifikationen

• 4+ years of professional experience, managing significant features.
• Experience with data quality and performance in data engineering.
• Background in designing, building, and deploying RESTful APIs.

Aufgaben

• Own and ship features from idea to production rollout.
• Design and deploy AI agents that deliver measurable outcomes.
• Integrate external systems while managing real-world challenges.

Kenntnisse

Python

RESTful APIs

Data Engineering

Cloud Services

LLMs

Tools

LangChain

AWS

Postgres

Redis

Jobbeschreibung

Zalion is an international AI start-up revolutionizing industrial procurement. We use cutting-edge AI agents to automate manual Source-to-Pay processes, freeing up procurement teams for strategic work.

We are live with the largest companies in Europe & the US.

We love what we do. We get stuff done. We progress fast.

Tasks

• Own and ship agent-powered features end-to-end – from idea and prototype to production rollout and iteration.
• Design, build, and deploy AI agents in production that interact with real systems (ERPs, email, supplier portals) and deliver measurable outcomes.
• Work with both structured and unstructured data (RFQs, emails, quotes, contracts) to power memory, retrieval, and decision-making.
• Build scalable memory, reasoning, and orchestration pipelines using tools like LangChain/LangGraph and evaluation frameworks.
• Integrate with external APIs and legacy systems, dealing with real-world messiness, rate limits, and failure modes.
• Contribute to our cloud infrastructure for scalable agentic workloads (observability, CI/CD, reliability, cost-awareness).
• Solve hard problems around context management, latency, robustness, and guardrails – making agents debuggable and trustworthy, not magic.

Requirements

• Strong Python skills and a track record of writing clean, maintainable, well-tested backend code
• Solid experience designing and building RESTful APIs and data models in production environments
• Experience with data engineering concepts (ETL, data quality, performance) and backend architecture
• Hands-on experience building something real with LLMs (OpenAI, Claude, etc.) – side projects are fine as long as they’re concrete
• Comfort working in the cloud (ideally AWS) with CI/CD, logging, and monitoring
• A builder mindset – you like to ship small, iterate quickly, and own your work end-to-end
• Comfort with ambiguity and ownership: you spot problems, propose solutions, and drive them to completion without waiting for perfect specs
• Roughly 4+ years of professional experience, including at least one role where you owned a production service, subsystem, or major feature.

Benefits

• Build AI agents that actually do things
• Massive autonomy, zero bureaucracy
• Immediate impact, your work ships fast to real customers
• Modern stack, no legacy
• Competitive salary + meaningful equity
• High-end equipment

Tech Stack You’ll Work With

• Python (LangChain, LangGraph, LangSmith, FastAPI)
• AWS (Bedrock, ECS Fargate, Lambda, S3, SQS/SNS)
• Next.js, React, TanStack Query/Router
• GitHub CI/CD , Sentry & Grafana & Prometheus
• Postgres, Redis
• Large Language Models (LLMs) and AI infrastructure (evaluation, tracing, guardrails)
• Whatever the future brings that helps us ship faster and better