About the roleAs an Applied AI Software Engineer, you own the systems that make Titan's agents work in production. You're as effective in front of a partner as you are deep in the codebase, and you move between the two every week.
You take ill-defined problems from the field, prototype quickly, and turn them into reliable production systems. You'll build the agent harness, ship new capabilities across the portfolio, and own the backend systems, data pipelines, and model-adjacent infrastructure underneath them. You work closely with other engineers, Operations, Product, and GTM.
This role is based in San Francisco or New York City, in office.
In this role you will- Embed with portfolio teams to understand their technical requirements and business objectives
- Architect and build integrations, APIs, and agent workflows on Titan's platform
- Build and evolve the agent harness and tools our AI agents run on
- Work with partner leadership to drive adoption and shape business outcomes across the portfolio
- Build the platform and software systems that scale future deployments
- Design evals that measure agent quality, then hill-climb our agents against them
You might thrive in this role if you- Bring 3+ years of engineering experience that includes partner-facing work
- Write and review production-grade code in TypeScript, Python, or a comparable stack
- Have built LLM applications or agents in production and know how model behavior shapes the product experience
- Have built full-stack systems end to end, with strong fundamentals in backend services, data modeling, and reliability
- Have owned and shipped complex systems in ambiguous, fast-moving environments
- Communicate clearly with partner stakeholders, engineers, and product managers
- Bonus: experience in IT operations, MSPs, or infosec
