The Role
Design, build, and deploy production AI agents and backend services. Integrate with ERPs and external APIs, handle structured and unstructured data, implement memory/retrieval and orchestration pipelines, and maintain cloud infrastructure, observability, CI/CD, and robustness for scalable agent workloads.
Summary Generated by Built In
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
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
Skills Required
- Strong Python skills and track record of writing clean, maintainable, well-tested backend code
- Experience designing and building RESTful APIs and data models in production
- Experience with data engineering concepts (ETL, data quality, performance) and backend architecture
- Hands-on experience building something real with LLMs (OpenAI, Claude, etc.)
- Comfort working in the cloud (ideally AWS) with CI/CD, logging, and monitoring
- Builder mindset; comfort with ambiguity, ownership, and shipping end-to-end
- Roughly 4+ years professional experience, including at least one role owning a production service, subsystem, or major feature
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The Company
What We Do
Zalion is a procurement AI start-up that develops AI-powered procurement agents designed to automate manual Source-to-Pay processes. Their technology eliminates the manual grind for procurement teams by automating time-consuming tasks such as guided buying, RFQ processing, and quote negotiation, allowing procurement professionals to focus on strategic relationships and higher-value activities instead of administrative busywork.
