Senior Software Engineer (Artificial Intelligence)

• 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
• 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

Benefits

• Fully distributed - Much Rack are committed to a permanent, fully remote environment, core to the way they do business.
• Geo-neutral compensation - Much Rack believe in equitable pay regardless of where you live.
• Time off - 4+ weeks off-the-grid vacation, sick and mental health days, and company holidays.
• Insurance - Health, vision, and dental coverage paid at 100% for individuals
• Retirement planning - MUck Rack contribute 3% of your annual salary to your 401k automatically.
• Paid parental leave - 8 weeks fully paid bonding for all parents + up to 8 weeks fully paid recovery from childbirth.
• Full WFH set up - Including monthly phone/internet reimbursement and coworking stipend.
• Learning & development - Take advantage of unlimited access to learning platforms and regular training opportunities.
• No meeting Fridays - Take control of your calendar, and make time for reflection and deep-focus tasks

• Experience measuring AI quality and using what you learn to improve it
• Strong API and tool design skills, including authentication and authorization
• Fluent Python skills, including async programming and experience with FastAPI, FastMCP, or Django
• 7+ years building production software
• Proactively incorporates AI tools into day-to-day work to improve productivity and accelerate delivery
• A practical understanding of prompting, tool use, context management, and where models go wrong
• Experience shipping LLM-powered features or agents to real customers including exposing tools via MCP
• Working-hour overlap with US time zones (Eastern preferred)
• Experience with LLM observability
• AI evaluation tools and methods, including DeepEval and LLM-as-judge
• Streaming UIs, server-sent events, and Vue.js
• AI security, including prompt injection defenses and tenant isolation
• Agent frameworks such as Pydantic AI, LangGraph, or the OpenAI Agents SDK
• MCP servers and LLM tooling

• 30-minute interview with a member of our Talent Team
• A 1 hour zoom interview with the hiring manager
• Peer interviews with several team members
• 30-minute Executive Interview
• 30-minute Bar Raiser