Remote AI/ML Platform Engineer

micro1; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Equity compensation

Health insurance reimbursement

401(k) with company match

Remote-first culture

Job summary

micro1 is seeking an AI/ML Engineer to build and improve an internal AI recruiting agent. You will develop capabilities, experiment with the latest LLMs and agent frameworks, and ship production-ready AI features that make the agent smarter, more reliable, and more useful.

You will design prompts, workflows, and orchestration, develop Python backends, evaluate model performance, and deploy scalable AI systems in production while staying current with the latest models and tools.

Qualifications

• Strong Python software engineering skills.
• Experience building applications with LLMs and AI APIs.
• Familiarity with LangChain, LangGraph, or LlamaIndex.
• Experience building APIs with FastAPI or similar frameworks.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and an experimental mindset.
• Excellent communication and collaboration skills.

Responsibilities

• Build and improve AI agent capabilities using modern LLMs.
• Develop backend services and APIs in Python.
• Design and iterate on prompts, workflows, RAG, and agent orchestration.
• Evaluate model performance and continuously improve quality through experimentation.
• Collaborate with product and engineering teams to deliver AI-powered features.
• Deploy and maintain scalable AI systems in production.
• Stay current with the latest AI models, tools, and best practices.

Skills

Python

LLMs & AI APIs

LangChain/LangGraph/LlamaIndex

FastAPI

Cloud platforms (AWS/GCP/Azure)

Problem solving

Communication & collaboration

Tools

LangChain

LangGraph

LlamaIndex

FastAPI

AWS

GCP

Azure

Job description

micro1 is seeking an AI/ML Engineer to build and improve an internal AI recruiting agent. You will develop capabilities, experiment with the latest LLMs and agent frameworks, and ship production-ready AI features that make the agent smarter, more reliable, and more useful.

You will design prompts, workflows, and orchestration, develop Python backends, evaluate model performance, and deploy scalable AI systems in production while staying current with the latest models and tools.