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AI/ML Engineer

Micro1Marina, California, US
[job_card.full_time]

AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual eva...[internal_linking.show_more]

AI/ML Engineer

Micro1Salinas, California, US
[job_card.full_time]

AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual eva...[internal_linking.show_more]

AI/ML Engineer

Micro1Prunedale, California, US
[job_card.full_time]

AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual eva...[internal_linking.show_more]

AI/ML Engineer

Micro1Oak Hills, California, US
[job_card.full_time]

AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual eva...[internal_linking.show_more]

Remote IT Services Consulting Expert - AI Trainer ($65-$85 per hour)

MercorSalinas, California, US
[filters.remote]
[job_card.full_time]

Role Overview** Mercor is partnering with leading AI labs to engage experienced IT services and consulting professionals to improve AI systems' understanding of enterprise technology, digital trans...[internal_linking.show_more]

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorSalinas, California, US
[filters.remote]
[job_card.part_time]

About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...[internal_linking.show_more]

AI/ML Engineer

AI/ML Engineer

Micro1Marina, California, US
[job_card.1_day_ago]
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  • [job_card.full_time]
[job_card.job_description]

AI/ML Engineer

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

Required Skills

Python
LLMs
RAG
AWS
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

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.