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 theyre 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 Youll Work With
- Python (LangChain LangGraph LangSmith FastAPI)
- AWS (Bedrock ECS Fargate Lambda S3 SQS/SNS)
- 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
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 ...
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 theyre 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 Youll Work With
- Python (LangChain LangGraph LangSmith FastAPI)
- AWS (Bedrock ECS Fargate Lambda S3 SQS/SNS)
- 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
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