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

About the role

The role involves designing and shipping complex agent loops for sports fans, managing tool-call latencies, and implementing sophisticated evaluation frameworks.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

Commensurate with experience.

Skills

• Experience with production Python, async debugging, and agent frameworks like Google ADK, LangGraph, or Pydantic AI.
• Data-driven regression testing skills.

Benefits

Not specified.

Pay

$160k-$220k + Equity

Schedule

N/A