Remote AI Platform Engineer: Build Production LLM Agents

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

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.