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

About the role

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.

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.

Pay

$160k-$220k + Equity

Location

San Francisco, USA

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