YO IT ConsultingRemote
Artificial Intelligence Engineer – Remote
United States of America
Full Time
2 hours ago
No H1B
Key skills
Python for AI/MLLLMsRAG systemsCloud AI servicesMulti-agent orchestrationData pipelinesETLSecure coding practicesPythonAIMachine LearningMLOpenAIAnthropicGeminiRAGLangChainAgenticLangGraphAWSAzureBedrockVertex AICI/CDCommunicationCollaboration
About this role
YO IT Consulting is seeking an AI/ML Engineer to drive mission-critical government initiatives and contribute to proprietary AI infrastructure. The role involves designing and optimizing AI/ML models, collaborating with cross-functional teams, and ensuring secure and scalable machine learning systems.
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
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
- 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