AI Agent Software Engineer
Summary
Full-stack engineer on an Agent Engineering team at a San Francisco startup, building production AI agents that handle enterprise customer conversations via text and voice. You own features end-to-end (design through deployment) using Python, TypeScript, and LLM-based systems, working on-site 5 days/week. $200K-$290K/year.
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.
What You’ll Do
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.
What We’re Looking For
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.
You’re Likely a Great Fit If You
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.
