Full-timeHybridExpired

AI/ML Engineer

micro1 is hiring an AI/ML Engineer to build secure, scalable, production-grade artificial intelligence and machine learning systems for mission-critical government initiatives and micro1's proprietary AI infrastructure. The role focuses on large language models, retrieval-augmented generation, multi-agent orchestration, secure cloud environments, data pipelines, APIs, and modern AI engineering practices.

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Salary

USD70 - USD200 / hour

Department

AI & Machine Learning Engineering

Experience

Experienced

Responsibilities

Design, implement, and optimize production-grade AI and machine learning models using LLMs, RAG, and prompt engineering.
Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
Integrate and deploy AI solutions in 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 for AI training and inference.
Create and maintain REST APIs and SDK integrations for reliable data and model interactions.
Collaborate with product, security, and engineering teams to deliver secure and scalable systems using modern DevOps and CI/CD practices.
Document technical decisions and communicate complex AI and engineering concepts clearly to technical and non-technical stakeholders.

Skills

PythonArtificial IntelligenceMachine LearningLarge Language ModelsLLMsRetrieval-Augmented GenerationRAGPrompt EngineeringMulti-Agent SystemsAgentic AILangGraphLangChainAWSAWS GovCloudGoogle GovCloudAzureVertex AIAWS BedrockData PipelinesETLREST APIsSDK IntegrationMetadata CatalogsOntologiesCI/CDSecure CodingDevOps

Requirements

Proficiency in Python for AI and machine learning development.
Experience developing REST APIs and integrating software development kits.
Hands-on production experience with large language models, RAG systems, and prompt engineering.
Familiarity with multi-agent orchestration, tool use, LangGraph, and LangChain.
Strong understanding of cloud AI services and secure environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
Experience building and maintaining data pipelines, ETL processes, ontologies, and metadata catalogs.
Strong understanding of secure coding practices and modern DevOps workflows, including CI/CD pipelines.
Exceptional written and verbal communication skills for technical collaboration and documentation.
Experience with AI and agentic platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise is preferred.
Knowledge of metadata catalog platforms, MCP, and advanced API development techniques is advantageous.
Prior exposure to government or highly regulated cloud environments and compliance standards is preferred.

Benefits

Full-time AI and machine learning engineering opportunity.
Opportunity to contribute to mission-critical government AI initiatives.
Work on micro1's proprietary AI infrastructure and advanced agentic AI systems.
Hands-on work with frontier LLM, RAG, and multi-agent technologies.
Experience deploying AI systems across secure and government-focused cloud environments.
Opportunity to collaborate with product, security, and engineering teams on production-grade AI systems.

AI/ML Engineer

Responsibilities

Design, implement, and optimize production-grade AI and machine learning models using LLMs, RAG, and prompt engineering.

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

Integrate and deploy AI solutions in 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 for AI training and inference.

Create and maintain REST APIs and SDK integrations for reliable data and model interactions.

Collaborate with product, security, and engineering teams to deliver secure and scalable systems using modern DevOps and CI/CD practices.

Document technical decisions and communicate complex AI and engineering concepts clearly to technical and non-technical stakeholders.

Skills

Requirements

Proficiency in Python for AI and machine learning development.

Experience developing REST APIs and integrating software development kits.

Hands-on production experience with large language models, RAG systems, and prompt engineering.

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

Strong understanding of cloud AI services and secure environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.

Experience building and maintaining data pipelines, ETL processes, ontologies, and metadata catalogs.

Strong understanding of secure coding practices and modern DevOps workflows, including CI/CD pipelines.

Exceptional written and verbal communication skills for technical collaboration and documentation.

Experience with AI and agentic platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise is preferred.

Knowledge of metadata catalog platforms, MCP, and advanced API development techniques is advantageous.

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

Benefits

Full-time AI and machine learning engineering opportunity.

Opportunity to contribute to mission-critical government AI initiatives.

Work on micro1's proprietary AI infrastructure and advanced agentic AI systems.

Hands-on work with frontier LLM, RAG, and multi-agent technologies.

Experience deploying AI systems across secure and government-focused cloud environments.

Opportunity to collaborate with product, security, and engineering teams on production-grade AI systems.