Full Stack AI Engineer

Zalion; München; On-site; EUR 110,000 - 140,000; Full time

Benefits offered by this job

High-end equipment

Meaningful equity

Job summary

Zalion is an international AI start-up transforming industrial procurement. We use AI agents to automate Source-to-Pay and partner with Europe and US leaders. You will own end-to-end features, design and ship AI agents in production interfacing with ERPs, emails, and supplier portals, and build scalable memory and orchestration pipelines.

We value clean backend code, RESTful APIs, data engineering, and hands-on LLM work. Expect a fast-paced environment, competitive salary, and meaningful equity.

Qualifications

• Strong Python skills with clean, maintainable backend code.
• Experience designing RESTful APIs and data models in production.
• Data engineering concepts (ETL, data quality, performance) in backend.
• Hands-on experience with building real AI projects using LLMs.
• Cloud experience (AWS) with CI/CD, logging, monitoring.
• Builder mindset: ship fast, own end-to-end.
• 4+ years of professional experience with production services.

Responsibilities

• Own and ship agent-powered features end-to-end from idea to production.
• Design, build, and deploy AI agents interacting with ERPs and supplier portals.
• Work with structured and unstructured data to power memory and decision-making.
• Build scalable memory, reasoning, and orchestration pipelines.
• Integrate with external APIs and legacy systems with real-world constraints.
• Contribute to cloud infrastructure for scalable agent workloads.

Skills

Python

RESTful APIs

LLMs

AWS

LangChain/LangGraph

FastAPI

Data engineering

GitHub CI/CD

Tools

AWS

Bedrock

ECS Fargate

Lambda

S3

SQS/SNS

LangChain

LangGraph

LangSmith

FastAPI

Next.js

React

TanStack Query/Router

CI/CD

Sentry

Grafana

Prometheus

Job description

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.
• Build AI agents that actually do things
• Immediate impact, your work ships fast to real customers
• Competitive salary + meaningful equity
• High‑end equipment
• 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
• Large Language Models (LLMs) and AI infrastructure (evaluation, tracing, guardrails)
• Whatever the future brings that helps us ship faster and better