Applied AI Software Engineer — Build Production AI Agents

AI Pulse

New York (NY)

On-site

USD 180,000 - 480,000

Full time

9 days ago

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Job summary

Titan is seeking an Applied AI Software Engineer to own the systems that make Titan's agents work in production. You will move between partner-facing work and deep coding weekly, prototyping ill-defined problems into reliable production systems.

You will prototype quickly, build the agent harness, ship new capabilities, and own the backend systems, data pipelines, and model-adjacent infrastructure. This role is based in San Francisco or New York City, in office.

Qualifications

  • 3+ years of engineering experience with partner-facing work.
  • Experience writing production-grade code in TypeScript and Python.
  • Experience building LLM applications or agents in production.
  • Experience building end-to-end full-stack systems.
  • Strong communication with partner stakeholders.
  • Bonus: IT operations, MSPs, or infosec experience.

Responsibilities

  • 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.

Skills

Production-grade code
TypeScript
Python
LLM applications
Full-stack systems
Backend services
Data modeling
Reliability
Partner-facing
Communication
ITOps/MSP/Infosec (bonus)

Job description

Titan is seeking an Applied AI Software Engineer to own the systems that make Titan's agents work in production. You will move between partner-facing work and deep coding weekly, prototyping ill-defined problems into reliable production systems.

You will prototype quickly, build the agent harness, ship new capabilities, and own the backend systems, data pipelines, and model-adjacent infrastructure. This role is based in San Francisco or New York City, in office.

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