GovSpend

Machine Learning Engineer

• Design, develop, and deploy robust and scalable AI agents and MCP Servers.
• Implement and optimize Retrieval Augmented Generation (RAG) systems for enhanced AI agent performance.
• Develop and maintain APIs and services using Python and Node.js.
• Containerize applications using Docker and orchestrate deployments with Kubernetes.
• Manage code repositories and implement continuous integration/continuous delivery (CI/CD) pipelines using GitHub and GitHub Actions.
• Work with various Large Language Models (LLMs) such as Gemini, OpenAI, Claude, and Perplexity, integrating them into applications.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Participate in code reviews, ensuring high-quality and maintainable code.
• Stay up-to-date with the latest advancements in AI, machine learning, and related technologies.

Senior AI/ML Engineer