Senior Software Developer, Applied AI

• 6+ years as a software engineer shipping production systems, with at least 1 to 2 years building LLM-powered or agentic systems that real users depend on, not prototypes.
• Strong general engineering fundamentals: you are a senior developer first and an AI specialist second. Distributed systems, API design, CI/CD, and cloud infrastructure are home territory.
• Hands-on depth in the current agentic stack: agent frameworks and coding agents (Claude Code, LangGraph, or equivalents), MCP or comparable tool protocols, structured outputs, and eval-driven development. You have opinions about context management and can defend them with data.
• A platform temperament: you measure your success by other teams' throughput, you write documentation people actually use, and you would rather delete code than defend it.
• Comfort operating with a small blast radius and high autonomy: this is a pod of few with a company-wide mandate, not a large team with narrow lanes.
• Experience in regulated or public-sector software, where auditability and defensibility of outputs matter.
• Prior DevOps, platform engineering, or internal developer platform ownership; you have lived the difference between building a tool and driving its adoption.
• Experience instrumenting and optimizing LLM cost and quality at scale: model routing, caching, prompt compression, fine-tuning trade-offs.

How success is measured

• 90 days: you know the Agentic SDLC framework end to end, how the build pods use it day to day, where it is strong, and where it breaks, and you are shipping to it without regression to pod velocity. You have taken over operational ownership of the existing connectors and eval harnesses from the founding team, and your first improvement to the framework, scoped with the Pod Lead against what the pods actually need, is live.
• 12 months: the framework is measurably faster and more reliable than the day you joined, with automated eval gates on every production agent workflow and cost and quality telemetry per workflow driving routing and optimization decisions. The connector layer covers our core systems and runs like production infrastructure. The Clariti AI harness serves a majority of non-engineering staff weekly, with uptime and support load a pod of few can sustain.

What’s in it for you?🫵

We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! *

💰 The base salary range for this role is expected to be between $103,000- $160,000 based on the candidate’s skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰

If you have questions about compensation as we move through the process, we’re happy to discuss further.

*Benefits depend on employment type (full-time, part-time, contract, etc).