Platform Engineer

ThirdLayer, Inc.; San Francisco (CA); On-site; USD 150,000 - 240,000; Full time

Job summary

ThirdLayer, Inc. is seeking engineers who have deeply worked on production AI systems. You’ll own core platform components, collaborate with customers to pressure-test what we’re building, and close the loop with learnings that feed back into the product.

The role spans context capture, agent orchestration, feedback loops, and scalable real-time systems. You’ll contribute to evolving pipelines, ship AI-powered workflows, and partner with customers to solve high-leverage problems while building

Qualifications

• Built production AI or LLM-based systems and can discuss engineering tradeoffs in detail.
• Took ideas to production and can describe evolution of the system.
• Experience building agents or autonomous systems.
• Strong communicator who can discuss technical decisions with teammates and customers.

Responsibilities

• Own and evolve the context capture and learning pipeline, building capabilities with customers and extracting patterns for the platform.
• Ship agent systems and AI-powered workflows from prototype to production.
• Collaborate with customers to identify high-leverage problems and deliver durable solutions.
• Build agentic features that learn from user behavior and adapt to new workflows.
• Develop evaluation and reliability infrastructure to determine when agents can act autonomously versus when to request input.
• Design systems that handle real-time ingestion and orchestration at scale.
• Shape the technical direction of the product.

Job description

The Role

Our platform turns raw user activity into structured process knowledge that agents can act on. We're looking for engineers who have gone deep on production AI systems. Maybe you've built context pipelines that handle messy real-world data, shipped agent systems that users actually rely on, or designed the evaluation infrastructure to know whether any of it is working. You'll own core parts of the platform, work closely with customers to pressure-test what we're building, and fold learnings back into the product. The work spans continuous context capture, agent orchestration, feedback loops, and the systems that tie them together.

What You'll Do

• Own and evolve our context capture and learning pipeline, building new capabilities with customers and pulling patterns back into the platform.
• Ship agent systems and AI-powered workflows from early prototype through production.
• Partner with customers to find the highest-leverage problems and build solutions that stick.
• Build agentic features that let agents learn from user behavior, adapt to new workflows, and take action on behalf of users.
• Build evaluation and reliability infrastructure so we know when agents are ready to act autonomously vs. when they should ask.
• Design systems that handle real-time ingestion and orchestration at scale.
• Shape the technical direction of the product.

What We're Looking For

• You've built production AI or LLM-based systems and can walk through the engineering tradeoffs in detail.
• You've taken something from idea to production and can talk about how it changed along the way.
• You're drawn to open-ended problems where the solution isn't handed to you.
• Experience building agents or autonomous systems.
• As comfortable reading a paper as writing production code.
• Strong communicator who can talk through technical decisions with both teammates and customers.