Summary
✨ AI‑Generated
Join an international AI startup as a full-stack engineer with end-to-end ownership of agent-powered features. You will design and deploy AI agents that interact with real enterprise systems, process structured and unstructured information, and support memory, retrieval, reasoning, and orchestration. The role also involves external API integration, handling production reliability challenges, and contributing to cloud infrastructure.
Highlights
End-to-end ownership of AI-powered features from prototyping through production. Opportunity to build production AI agents, work with complex real-world data and integrations, and develop scalable memory, retrieval, reasoning, and orchestration systems.
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.
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
