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

About the role

The role involves designing and shipping complex agent loops, building MCP servers, and establishing rigorous evaluation harnesses and observability pipelines.

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

• Agentic systems expertise
• Real-time sports data handling
• Personalized insights and proactive recommendations
• Production-ready system development

Benefits

Not specified.

Pay

$160k-$220k + Equity

Schedule

TBD