Senior AI/ML Engineer - GovCloud & LLM Specialist

YO AI Labs; Maryland; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

YO AI Labs is seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to deliver production-grade machine learning applications.

You will collaborate with product, security, and engineering teams, implement robust data pipelines, APIs, and tools, and follow modern DevOps and secure coding practices to enable reliable, auditable AI

Formación

• Experience with Python for AI/ML development, including REST APIs.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, LangGraph, and LangChain.
• Knowledge of cloud AI services (GovCloud, Vertex AI, Bedrock).

Responsabilidades

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (GovClouds, Vertex AI, Bedrock).
• Build robust ETL pipelines, catalogs, and ontologies for training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
• Follow secure coding, DevOps, and CI/CD practices.
• Document decisions and communicate complex concepts to stakeholders.

Conocimientos

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

REST APIs

SDK integrations

CI/CD

Secure coding

Cloud platforms

Data pipelines

Herramientas

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Descripción del empleo

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
• Follow modern secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.

Required Skills & Qualifications

• Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
• Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
• Strong understanding of secure coding and CI/CD practices.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
• Knowledge of MCP, metadata catalog platforms, and advanced API development.
• Experience working in government, regulated, or security-sensitive cloud environments.
• Familiarity with relevant compliance and security standards.