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ParadigmParadigm

Deployed Engineer

Build and deploy production AI agents and integrations directly with customers, translating ambiguous workflows into reliable technical systems. The role requires strong software engineering, API and data-system fluency, customer collaboration, and willingness to work in person and travel.

About the job

Responsibilities

  • Own the technical customer lifecycle from deployment through production adoption and expansion.
  • Work directly with customers to identify high-leverage workflows.
  • Design and deploy AI agents combining reasoning, web research, external data, and internal systems.
  • Build integrations with CRMs, document stores, data warehouses, and internal APIs.
  • Debug agent behavior, data quality issues, integrations, and real-world deployment problems.
  • Build relationships with users and technical stakeholders.
  • Turn customer patterns into product improvements and help shape the roadmap.
  • Drive adoption from an initial workflow to broader organizational use.

Requirements

  • Strong engineering foundation from a rigorous technical environment.
  • Demonstrated exceptional performance in academic, professional, athletic, or entrepreneurial pursuits.
  • Experience writing and debugging production software.
  • Proficiency in at least one modern programming language.
  • Ability to understand unfamiliar APIs, data models, and technical systems quickly.
  • High tolerance for ambiguity, intensity, and sustained effort.
  • Willingness to travel.

Nice-to-haves

  • Interest in LLMs, agents, data infrastructure, and production reliability.
  • Enjoyment of moving between coding, debugging data, customer conversations, and product thinking.
  • Ability to turn ambiguous business problems into working technical systems.

Compensation and Benefits

  • Annual salary range: $180,000–$280,000.
  • In-person work in the San Francisco office five days per week.

Skills

Python, JavaScript, TypeScript, LLMs, AI Agents, Web Research, Data Infrastructure, APIs, Data Models, Crm Integrations, Data Warehouses, Internal Apis, Production Software, Debugging

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