Senior AI/ML Engineer: LLMs, RAG&Multi-Agent Orchestration

Artha; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

micro1 is seeking an AI/ML Engineer to join our team and advance government-focused AI infrastructure. You will work on secure, scalable ML systems leveraging LLMs, RAG, and multi-agent orchestration, collaborating with cross-functional experts and frontier AI platforms.

You will design production-grade AI/ML models, build robust data pipelines, and deploy solutions across regulated cloud environments such as AWS GovCloud, Google GovCloud, and Azure IL5+.

Qualifications

• Proficiency in Python for AI/ML development with REST APIs.
• Hands-on with LLMs, RAG, and production prompt engineering.
• Experience with multi-agent orchestration and related frameworks.
• Deep knowledge of secure coding and modern DevOps practices.
• Familiarity with cloud AI services in regulated environments.
• Strong data pipelines, ETL, ontologies, and metadata catalogs.
• Excellent written and verbal communication for collaboration.

Responsibilities

• Design and optimize AI/ML models using LLMs and RAG.
• Develop and orchestrate multi-agent systems with LangGraph/LangChain.
• Deploy solutions on secure cloud environments (Gov clouds, Vertex AI, Bedrock).
• Build data pipelines, ETL processes, and metadata catalogs for AI training.
• Create and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams; follow CI/CD.
• Document decisions and translate complex concepts for stakeholders.

Skills

Python for AI/ML

REST APIs

LLMs & RAG

Multi-agent orchestration

Prompt engineering

Cloud platforms

CI/CD & DevOps

Documentation & communication

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Job description

Python REST APIs LLMs RAG multi-agent orchestration

This job requires a minimum of 3 years of experience.

About the Job

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

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.

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:

• 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.

Required Skills and Qualifications:

• 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.

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