Note: The job is a remote job and is open to candidates in USA. Pinecone is the knowledge infrastructure for AI at scale, providing a leading vector database and knowledge engine for a wide range of customers. The Experience team is looking for an engineer to redesign their API and systems for AI agents, focusing on end-to-end ownership from architecture to user interfaces.
Responsibilities
- Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on
- Ship end-to-end experiences across API, SDK, CLI, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it
- Build systems that multiply team output. We care about what ships, not how many hours went into it. Design AI-powered workflows, automated quality gates, and high-leverage platform capabilities that let a small team move at a pace that would otherwise require 10x the headcount
- Set the standard for AI-assisted development on the team. Use the best tools available — Claude Code, Cursor, or whatever works — and help establish patterns that make the whole team faster
- Collaborate with product, design, and engineering to identify what users (and agents) actually need and build it at the right abstraction level, at the right time
- Build observable, auditable systems with monitoring, alerting, and verification mechanisms — because in a high-velocity environment, you need systems that tell you when something's wrong
Skills
- At least 4 years of software engineering experience
- A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease
- Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow
- Proven ability to design and deliver versioned APIs, SDKs, or client libraries
- Proficiency building web interfaces with React or similar
- Experience with at least one major cloud provider (AWS, GCP, Azure)
- Strong intuition for what makes APIs easy for both humans and agents to use correctly
- Experience building or consuming MCP servers, or designing APIs explicitly for agent use cases
- Familiarity with agentic frameworks and the emerging patterns around tool use, orchestration, and agent-to-agent communication
- Strong familiarity with a compiled language like Rust, Go, or Java
- Experience with large-scale open-source projects
- Experience developing database or query engine SDKs
Benefits
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
Company Overview
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