Agentic Engineer ($160k-$220k + Equity) at Snapp Stats

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Agentic Engineer Salary $160k-$220k + Equity Company Description Snapp Stats is an a16z-backed startup building the ultimate AI conversational companion for sports fans and bettors. Led by repeat founders, including a co-founder of Caviar, the team leverages agentic systems and real-time sports data to deliver personalized insights and proactive recommendations to passionate fans and fantasy players. Job Description As an Agentic Engineer at Snapp Stats, you will own the orchestration layer of AI agents designed for sports fans. You will design robust agent loops, manage tool-call latencies, and implement sophisticated evaluation frameworks. This role bridges the gap between experimental LLM hacks and production-ready systems that thrive under real-world user interaction. Location San Francisco, USA Why this role is remarkable Work at the cutting edge of agentic AI with a16z backing and a leadership team featuring the co-founder of Caviar. Direct impact on a product where users notice accuracy and speed immediately, operating at the emotional intersection of sports and betting. High-autonomy environment where your architectural decisions and tool designs go from concept to production within the same week. What You Will Do Design and ship complex agent loops that manage long-horizon tasks, tool calls, and partial failures without degradation. Build and operate MCP servers to expose rich sports databases and content tools to both internal and partner agents. Establish rigorous evaluation harnesses and observability pipelines using tools like Logfire to monitor token spend, latency, and reliability. The ideal candidate 5+ years of software engineering experience with at least 1.5 years shipping and operating production agentic systems for real users. Deep proficiency in production Python, async debugging, and agent frameworks like Google ADK, LangGraph, or Pydantic AI. Strong discipline in evaluations and observability, with the ability to move beyond vibes-based prompting to data-driven regression testing. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. How does this work? Jack's an AI agent for job searching and career coaching. He works for you. Jill is the AI recruiter working for the company. She recruits from Jack's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free. Show more Show less