From the listing
About the role
Zyte is a globally distributed team of over 225 Zytans across 28 countries on a mission to enable customers to extract web data at scale. Founded in 2010, the company provides tools used by over 3,000 companies and 1 million developers to make smarter business decisions.
This role sits in the Tooling team, working alongside the Principal Engineer on an internal agentic platform. This platform centralizes company knowledge and context for both human users and AI agents, ensuring appropriate access controls and security.
The team is looking for a builder who has shipped AI agents to real users. This person will own the product end-to-end, from user feedback and coding to deployment and performance metrics.
What you'll do
- Build new platform capabilities every week from design to production.
- Connect internal systems and SaaS tools to the platform, defining shared data models and access controls.
- Develop agents, tools, and MCP servers to provide necessary context for company-wide use.
- Own quality through evaluation sets, benchmarks, tracing, cost analysis, and bug fixing.
- Turn proofs of concept into production cloud tools with proper security and access.
- Build using AI coding agents while maintaining code quality through specs, tests, and reviews.
- Contribute to company-wide AI standards, cost tracking, and tool evaluation.
- Engage with internal users to determine product roadmap and explain features to technical and non-technical audiences.
What they're looking for
- 3+ years building and shipping production software, primarily in Python and relational databases.
- Experience shipping at least one agent used by real people using LangGraph, including tool calling and retrieval.
- Hands-on experience with major LLM APIs, cost management, and token optimization.
- Hands-on experience with MCP or similar tool protocols as both server and client.
- Ability to evaluate AI systems using test sets, LLM-as-judge, and observability tools like Langfuse.
- Experience integrating SaaS APIs, SQL, and data warehouses.
- Proficiency with cloud infrastructure (GCP/AWS), containers, managed databases, and CI/CD.
- Daily use of AI coding agents with the ability to verify their output.
- Strong understanding of security, identity, and least privilege permissions.
- Excellent written and spoken English communication skills.
Nice to have
- Familiarity with web data or web scraping.
- Experience with Django, Postgres, and pgvector.
- Frontend skills in React or Next.js to build chat interfaces.
- History of building internal tools adopted by colleagues.
- Knowledge of semantic layers, knowledge graphs, and multi-agent setups.
- Previous experience in remote or distributed teams.
From the company page
Zyte benefits
◉ Remote policy · in their words
“Unlock Global Opportunities in a completely remote environment”
Pulled from their careers page · verified by Atlas
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