Principal AI Platform Engineer — Remote, Equity

Talentsearch; United States; Remote; USD 700,000 - 1,000,000; Full time

Benefits offered by this job

Remote work

Equity

Job summary

Talentsearch seeks a Staff/Principal-level engineer to lead an AI platform in production, focusing on autonomous agents and scalable backend systems. You’ll influence architecture, agent reasoning, task coordination, and reliable decision making while choosing the best tools for the job.

You’ll join a growing team with ownership over what and how we build, leveraging strong Python skills and flexible technology choices.

Qualifications

• Staff or Principal-level software engineer with a track record shipping complex production systems.
• Hands-on experience building and deploying LLM-powered AI agents in production.
• Strong Python development skills and backend/distributed systems fundamentals.
• Experience with agent orchestration, tool or function calling, and multi-step autonomous workflows.
• Familiarity with LLM evaluation, tracing, debugging, and improving agent reliability.

Responsibilities

• Lead work on an AI platform in production, improving autonomous agents.
• Shape architecture and determine how agents reason, coordinate tasks, and make reliable decisions.
• Join growing engineering team with influence over what and how we build.
• Help choose appropriate tools and technologies for problems.
• Collaborate with teams to deploy features and ensure reliability.

Skills

Staff-Principal engineer

LLM-powered AI agents

Python development

Backend systems

Agent orchestration

Multi-step workflows

LLM evaluation

APIs integration

Tools

LangGraph

LangChain

AutoGen

CrewAI

Vector databases

Job description

Talentsearch seeks a Staff/Principal-level engineer to lead an AI platform in production, focusing on autonomous agents and scalable backend systems. You’ll influence architecture, agent reasoning, task coordination, and reliable decision making while choosing the best tools for the job.

You’ll join a growing team with ownership over what and how we build, leveraging strong Python skills and flexible technology choices.