Senior Software Engineer, AI

Muck Rack is trusted by thousands of organizations around the world to understand how their brands show up across news, social media and AI-generated answers.

Our AI-powered platform connects the entire PR workflow in one place, helping communications teams manage media relationships, understand the conversations shaping their brands, take action and measure their impact. Combined with analyst-led Media Intelligence and advisory services, Muck Rack turns signals into insights and insights into action.

Founder-controlled and growing profitably and sustainably, we have the freedom to build forward-thinking products, put our customers first, and offer an inclusive culture that welcomes diverse perspectives.

Our Agents team at Muck Rack is building AI for PR and communications professionals. Our first agent helps customers understand their media coverage. Next, we’re building agents that can plan and carry out multi-step workflows.

You’ll take features from idea to production, working across our Python agent runtime, MCP server, and Django/Vue application. You’ll help decide how the technology works, ship it to real customers, and learn from how they use it.

You’ll help shape what we build next and how we build it. You’ll work with new models, solve real customer problems, and take your ideas from experiment to production. If you want to build agents people actually rely on, we’d like to meet you.

What You'll Do

Build agents that take action. Build tools, prompts, guardrails, and multi-turn workflows with memory. Help agents know when to act, ask a question, or hand off to a human

Ship the full experience. Build in-product chat, streaming responses, permission-aware APIs, and our external MCP server

Make quality measurable. Build evals, catch regressions, and use production feedback to improve quality, latency, and cost

Help shape the platform. Make decisions about how we build, deploy, and run agents as the product grows

To Be Set Up for Success in This Role, You'll Need to Have

7+ years building production software

Fluent Python skills, including async programming and experience with FastAPI, FastMCP, or Django

Experience shipping LLM-powered features or agents to real customers including exposing tools via MCP

A practical understanding of prompting, tool use, context management, and where models go wrong

Experience measuring AI quality and using what you learn to improve it

Strong API and tool design skills, including authentication and authorization

Proactively incorporates AI tools into day-to-day work to improve productivity and accelerate delivery

Working-hour overlap with US time zones (Eastern preferred)

If Any of the Below Also Describe You, This Could Be an Exciting Opportunity

Agent frameworks such as Pydantic AI, LangGraph, or the OpenAI Agents SDK

MCP servers and LLM tooling

AI evaluation tools and methods, including DeepEval and LLM-as-judge