AI/ML Engineer (US only)

Core team
$250K - $600K/yr compensation

Required Skills

Python
LLMs
RAG
AWS
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: AI/ML Engineer


Job Type: Full-Time


Job Summary:

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.


Key Responsibilities:

  1. Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  2. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  3. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  4. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  5. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  6. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  7. Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.


Required Skills and Qualifications:

  1. Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  2. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  3. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  4. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  5. Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  6. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  7. Exceptional written and verbal communication skills for effective collaboration and documentation.


Preferred Qualifications:

  1. Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  2. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  3. Prior exposure to government or highly regulated cloud environments and compliance standards.

This job is currently closed and not accepting applications. Thank you for your interest!

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