About Muck Rack
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.
The Role
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.
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
Salary
- The anticipated salary range for this role in Ireland is €95,000–€110,000 annually, depending on experience.
- The anticipated salary range for this role in United Kingdom is £105,000–£115,000 annually, depending on experience.
- The anticipated salary for this role in Bulgaria is €6,500+ gross per month, depending on experience.
Why Muck Rack?
- Remote Work, Forever: Fully distributed team with a permanent remote setup, home office stipend, phone and internet reimbursement, coworking membership, and virtual/in-person team bonding.
- Transparent & Fair Compensation: Annual reviews to ensure equity and market alignment, standardized bonus or commission structure, 401(k) with employer contributions, and equity opportunities.
- Health & Wellness: Comprehensive medical, dental, vision, disability, and life insurance, 24/7 Virtual Care, Employee Assistance Program, employer-funded HSA contributions, quarterly wellness stipend, and free Headspace subscription.
- Time Off & Family Benefits: 4+ weeks of PTO, plus paid sick and mental health days, 13 paid holidays, and up to 16 weeks of fully paid parental leave.
- Learning and Development: Transparent pathways for internal mobility and promotion, bi-annual performance reviews, team workshops, leadership training, unlimited access to Coursera and O’Reilly, and 2 additional PTO days annually for learning and development.
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
- Streaming UIs, server-sent events, and Vue.js
- Experience with LLM observability
- AI security, including prompt injection defenses and tenant isolation
