AI/ML Engineer

1 Micro, LLC
Palo Alto, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$200,000.0 - $350,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Security Continuous Integration Extract Transform Load (ETL) DevOps Python (Programming Language) Machine Learning Metadata Secure Coding AI Infrastructure
+10 more
Cloud Platform System Large Language Models Multi-Agent Systems Prompt Engineering Generative AI AI Platforms Machine Learning Operations Api Design Restful APIs Data Pipelines

Job description

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., * Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.

  • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.

  • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.

  • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.

  • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.

  • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).

  • Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Requirements

  • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.

  • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.

  • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.

  • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).

  • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.

  • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).

  • Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications:

  • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.

  • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.

  • Prior exposure to government or highly regulated cloud environments and compliance standards.

About the company

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI., micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

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