What are the responsibilities and job description for the AI/ML Engineer - Remote position at YO IT Consulting?
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 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
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 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.
- 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.