Applied AI Engineer

Role Overview You'll build the agentic platform at the core of Translucent, improving the underlying agent capabilities every team builds on rather than configuring agents for a single customer. You'll standardize the tool surfaces new capabilities plug into, make the platform integration-ready across products, and own the evals, context, and harness engineering that make it reliable enough for healthcare finance, where accuracy is non-negotiable.

If you love sweating the details of production AI, shipping fast, and seeing your work in customers' hands quickly, you'll feel at home here.

What You'll Do

• Standardize tool and skill surfaces.
• Define the MCP-style tool, connector, and skill contracts that let us add capabilities continuously without destabilizing the platform.
• Make the platform integration-ready.
• Build the connective tissue so agents, tools, context, and data compose cleanly across products, and match the right architecture to each use case.
• Own evals and benchmarks.
• Build production-grade eval harnesses, replay, and benchmarks, and gate every release on them.
• Lead context and harness engineering.
• Ground agents in each customer's business rules and data, and build the control loops that keep outputs reliable.
• Fine-tune and evaluate models.
• Fine-tune in-house and open-source models, benchmark against frontier baselines, and make the build-vs-buy calls.