AI Applications Platform Engineer

Engg; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Plane is hiring for a product engineering role focused on enabling AI agents to participate in work lifecycle. You will read context from workspaces, perform actions inside them, and hand control back to humans at the right moment.

This is a hands-on engineering role centered on Python development and building tooling that agents depend on. You will design and ship tool surfaces, manage retrieval and embedding models, and own the end-to-end experience from data access to user-facing interfaces.

Qualifications

• Two or more years building production software.
• At least one year shipping features backed by large language models.
• Strong Python skills and production debugging experience.
• Experience building agent systems that call tools and manage loops.
• Working knowledge of embedding models, vector databases, and retrieval quality issues.
• Experience building an evaluation harness for non-deterministic systems.

Responsibilities

• Build agent workflows that operate on Plane data, including planning loops and multi-step execution.
• Design and ship MCP servers exposing Plane capabilities as tools with safe schemas and error handling.
• Own the end-to-end retrieval layer, including chunking, embeddings, vector storage, and hybrid search.
• Create agent interfaces with streaming output, visibility of steps, and gating for approvals.
• Establish evaluation harnesses with datasets and regression suites to assess changes.
• Instrument tracing, token cost, and latency across agent runs to reduce failures.
• Design a robust permission/audit model so agents only access permitted data.
• Evaluate models and tooling and advise Plane on adoption.
• Collaborate with backend, frontend, and product engineers to ship prototypes.

Skills

Python

LLM integration

Agent systems

Vector databases

Debugging under traffic

Tools

MCP server

Retrieval systems

Vector store

Job description

Plane is hiring for a product engineering role focused on enabling AI agents to participate in work lifecycle. You will read context from workspaces, perform actions inside them, and hand control back to humans at the right moment.

This is a hands-on engineering role centered on Python development and building tooling that agents depend on. You will design and ship tool surfaces, manage retrieval and embedding models, and own the end-to-end experience from data access to user-facing interfaces.