Senior AI Platform Engineer - Build LLM Agents (Remote)

Muck Rack; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work, forever

Home office stipend

Phone and internet reimbursement

Coworking membership

401(k) with employer contributions

Equity opportunities

Health & wellness benefits

4+ weeks of PTO

Job summary

Muck Rack is looking for an experienced software engineer to join our AI Agents team. You will take features from idea to production across Python, MCP, and Django/Vue, shaping how agents act and integrate with customers.

You will design, ship, and improve multi-step workflows, AI prompts, and scalable APIs while collaborating with cross‑functional teams in a fully distributed environment. Eastern time overlap preferred.

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).

Responsibilities

• Build agents that take action.
• Ship the full experience.
• Make quality measurable.
• Help shape the platform.

Skills

Python

Async programming

FastAPI

Django

LLM features

APIs design

AI tools integration

Tools

Pydantic AI

LangGraph

OpenAI Agents SDK

MCP servers

Vue.js

Job description

Muck Rack is looking for an experienced software engineer to join our AI Agents team. You will take features from idea to production across Python, MCP, and Django/Vue, shaping how agents act and integrate with customers.

You will design, ship, and improve multi-step workflows, AI prompts, and scalable APIs while collaborating with cross‑functional teams in a fully distributed environment. Eastern time overlap preferred.