Software Engineer, Full Stack

Responsibilities

• Design and ship production AI agents embedded in Teams, Slack, intranets, voice lines, and email, integrating with enterprise systems such as SAP, ServiceNow, and Workday.
• Own the full agent lifecycle, including discovery, building, evaluation, launch, and ongoing reliability improvements.
• Work directly with enterprise leaders to understand business processes and determine what should be an agent, workflow, or human task.
• Turn field-learned patterns into core product capabilities, including connectors, agent primitives, and tooling.
• Collaborate with product and platform engineering teams to generalize solutions.

Requirements

• 5+ years of relevant engineering experience building and scaling end-to-end production systems.
• Strong backend fundamentals, including algorithms and data modeling.
• Proficiency in more than one programming language, especially Python and Go.
• Demonstrated problem-solving ability in fast-changing, ambiguous environments.
• High agency and a builder's mindset.
• Comfort working directly with customers.
• Clear communication with technical and non-technical audiences.

Nice-to-haves

• Experience building or deploying LLM systems in production, including developing evaluation methods.
• Familiarity with agent tooling, retrieval-augmented generation (RAG) pipelines, MCP, and prompt engineering.
• Founder or founding engineer experience.
• Experience integrating enterprise applications such as HRIS, ITSM, ERP, and ticketing systems, including authentication.
• Experience with distributed global teams and multi-tenant SaaS environments.

Compensation and benefits

• Compensation is determined by location, level, job-related knowledge, skills, and experience.
• Certain roles may be eligible for variable compensation, equity, and benefits.