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Titan is building an AI workforce for IT operations, deploying AI agents across managed service providers and enterprise customers to monitor, triage, and resolve work across service desks, infrastructure, security, identity, endpoint, and application operations. The company has raised over $100M from top-tier investors, acquired market-leading MSPs, and already automated 100K+ tickets across 400+ customers.
As an Applied AI Software Engineer, you will own the systems that make Titan's agents work reliably in production. This is a hybrid technical and customer-facing role where you move between deep codebase work and direct partner engagement weekly.
Key responsibilities include:
- Embedding with portfolio teams to understand technical requirements and business objectives
- Architecting and building integrations, APIs, and agent workflows on Titan's platform
- Building and evolving the agent harness and tools that AI agents run on
- Working with partner leadership to drive adoption and shape business outcomes
- Building platform and software systems that scale future deployments
- Designing evaluation frameworks to measure agent quality and optimizing agents against them
You will take ill-defined problems from the field, prototype quickly, and turn them into reliable production systems. You'll work closely with other engineers, Operations, Product, and go-to-market teams.
REQUIREMENTS:
- 3+ years of engineering experience including partner-facing work
- Production-grade code writing and review in TypeScript, Python, or comparable stack
- Experience building LLM applications or agents in production with understanding of how model behavior shapes product experience
- Full-stack systems experience end-to-end with strong fundamentals in backend services, data modeling, and reliability
- Ownership and shipping of complex systems in ambiguous, fast-moving environments
- Clear communication with partner stakeholders, engineers, and product managers
- Bonus: experience in IT operations, MSPs, or infosec
