About this role
Role Overview
Build secure, scalable AI systems for mission-critical government initiatives and proprietary AI infrastructure. This role applies large language models, retrieval-augmented generation, and multi-agent orchestration to production-grade machine learning solutions while partnering with product, security, and engineering teams.
Key Responsibilities
- Design, implement, and optimize AI/ML models using LLMs, RAG, and prompt engineering.
- Develop and orchestrate multi-agent systems with tools and frameworks including LangGraph and LangChain.
- Integrate and deploy solutions in secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build data pipelines, manage ETL processes, and develop metadata catalogs and ontologies that support high-quality AI training and inference data.
- Create and maintain REST APIs and SDK integrations for data and model interactions.
- Apply secure coding and DevOps practices, including CI/CD, to deliver reliable solutions.
- Document technical decisions and clearly communicate complex concepts to technical and non-technical stakeholders.
Qualifications
- Proficiency in Python for AI/ML development, including REST API and SDK integration experience.
- Hands-on production experience with LLMs, RAG systems, and prompt engineering.
- Experience with multi-agent orchestration, tool use, and frameworks such as LangGraph and LangChain.
- Deep knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Experience building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
- Strong understanding of secure coding and modern DevOps practices, including CI/CD pipelines.
- Exceptional written and verbal communication skills.
Preferred Qualifications
- Experience with AI or 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.
- Experience working in government or highly regulated cloud environments and with related compliance standards.
Work Terms
- Remote, full-time role.
Compensation
- Annual compensation range: $200, 000 to $350, 000.