AI Agent Software Engineer

Viridian StaffingSan Francisco, CA
40d$200,000 - $290,000Onsite

About The Position

Our Client is building production-ready AI agents that handle complex, real-world customer interactions at scale. As a Full-Stack Engineer on the Agent Engineering team, you’ll design, build, and ship AI-powered products used by enterprises in high-impact industries. This is a hands-on engineering role where you own your work end-to-end—from initial design and architecture through implementation, deployment, and continuous iteration. You’ll work directly with leadership and customers, bringing together full-stack development, AI/ML, and large language model experience to create agents that feel more capable and responsive than traditional human support teams.

Requirements

  • 2+ years of experience as a Full-Stack Engineer or Software Engineer at a high-growth startup, trading firm, or tech company known for a high engineering bar.
  • Proficiency in Python and TypeScript, including experience with asynchronous programming, APIs, and distributed systems.
  • Proven experience building and shipping AI or ML-driven products (LLMs, machine learning pipelines, recommendation or conversational systems, etc.).
  • Bachelor’s degree in Computer Science or Computer Engineering
  • Demonstrated career progression and ownership
  • Comfortable working across the stack
  • Clear motivation to join a rapidly growing startup and work on-site in San Francisco, 5 days per week in a highly collaborative environment.

Nice To Haves

  • Love building from zero to one and iterating quickly in a startup environment.
  • Enjoy tackling complex system-level problems and designing elegant, scalable solutions.
  • Want to work directly with modern AI technologies—large language models, conversational AI, and voice AI—in production, not just in prototypes.
  • Take pride in clean, maintainable code, strong testing practices, and thoughtful architecture.

Responsibilities

  • Design and build AI agents that manage complex customer conversations, drive retention, and deliver measurable business outcomes.
  • Develop and maintain full-stack systems in Python and TypeScript, with a focus on reliability, scalability, and low-latency performance.
  • Integrate and evaluate cutting-edge text and voice models
  • Use data from multiple customers to identify cross-customer patterns and influence the direction of the agent platform and underlying architecture.
  • Collaborate closely with product, research, and customer-facing teams to translate business needs into technical solutions that can scale
  • Continuously experiment, run evaluations, and refine agents based on real-world feedback and rigorous metrics.
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