Software Engineer, AI

Muck Rack; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Home office stipend

Phone and internet reimbursement

Coworking membership

Annual reviews

Job summary

Muck Rack is seeking a senior platform engineer to build production-grade AI agents and tools that power PR workflows. You will work across Python, FastAPI, MCP server, and Django/Vue applications, shipping real features to customers and iterating from experiments to production.

You will design secure APIs, implement AI tooling, and collaborate with distributed teams across time zones, with strong emphasis on observability, security, and scalable architectures.

Qualifications

• 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).
• 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.

Responsibilities

• 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.

Skills

Python

Async programming

FastAPI

FastMCP

Django

LLM-powered features

Prompting

Tool use

Context management

API design

Authorization

AI tooling

Agile teamwork

US time-zone overlap

Agent frameworks

MCP servers

LLM observability

Vue.js

Tools

Pydantic AI

LangGraph

OpenAI Agents SDK

MCP server

Job description

Описание:

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.

Задачи:

• 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.
• Streaming UIs, server-sent events, and Vue.js.
• Experience with LLM observability.
• AI security, including prompt injection defenses and tenant isolation.

Условия:

Travel & Team Engagement Expectations. This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected.

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.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors.

We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

Remote Work, Forever Fully distributed team with a permanent remote setup.

• Home office stipend
• phone and internet reimbursement
• coworking membership
• Virtual and in-person team bonding (lunches, events, competitions)
• Competitive geo-neutral pay in the U.S.
• Annual reviews to ensure equity and market alignment
• Standardized bonus or commission structure
• 401(k) with employer contributions
• Equity opportunities
• Health & Wellness
• Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents
• 100% premium coverage for individuals on high-deductible plans
• 24/7 Virtual Care and Employee Assistance Program
• Employer-funded HSA contributions and other pre-tax benefits
• Quarterly wellness stipend and free Headspace subscription
• 4+ weeks of PTO, plus paid sick and mental health days
• 13 paid holidays with the option to swap for personal days
• 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, and leadership training
• Unlimited access to Coursera and O’Reilly
• 2 additional PTO days annually for learning and development
• Inclusive, Customer-First Culture
• Commitment to equity and valuing diverse perspectives
• Agile, founder-led company focused on collaboration and innovation
• Trusted by 3,000+ companies worldwide

Note: Benefits and compensation reflect offerings for U.S.-based employees.

Support is provided for employees in other locations, in compliance with local laws and regulations.

While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email.

Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.