Senior AI Software Engineer: Build Actionable Agents

Muck Rack; United Kingdom; Remote; GBP 105,000 - 115,000; Full time

Benefits offered by this job

Fully distributed team

Annual company offsite in Mexico

Job summary

Muck Rack is hiring for a senior software/AI engineer to build agents that act within multi-step workflows. You will ship full experiences, from in-app chat to streaming responses, across a Python-based stack including FastAPI, Django, and MCP-related tools.

We value hands-on experience shipping LLM-powered features, strong API design, and proactive use of AI tools to boost productivity. This is a fully distributed, remote role with occasional travel and collaboration across time zones.

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 and manage multi-turn workflows with memory.
• Ship the full experience with in-product chat, streaming responses, and permission-aware APIs.
• Make quality measurable by building evals and monitoring latency and cost.
• Help shape the platform by making architectural decisions for deployment and runtime.

Skills

Fluent Python

Async programming

FastAPI

Django

LLM-powered features

API design

Authentication & Authorization

US time zones overlap

Tools

Pydantic AI

LangGraph

OpenAI Agents SDK

MCP servers

LLM tooling

Job description

Muck Rack is hiring for a senior software/AI engineer to build agents that act within multi-step workflows. You will ship full experiences, from in-app chat to streaming responses, across a Python-based stack including FastAPI, Django, and MCP-related tools.

We value hands-on experience shipping LLM-powered features, strong API design, and proactive use of AI tools to boost productivity. This is a fully distributed, remote role with occasional travel and collaboration across time zones.