AI Engineering Co-op

Boston Agent House is seeking an AI Engineer Co-op to help deploy, scale, and manage AI-driven applications within the Google Cloud ecosystem. This role is highly hands-on and sits at the intersection of AI engineering, cloud infrastructure, and applied research. You will work directly on production systems while also evaluating and operationalizing emerging AI tools. **Key Responsibilities Cloud Deployment & Infrastructure** * Forward deploy and manage Boston Agent House’s existing applications on Google Cloud Platform * Maintain and optimize cloud architecture (compute, storage, APIs, security) * Monitor performance, reliability, and cost efficiency of deployed systems AI Systems & Tooling * Secure, productionize, and deploy new AI tools derived from internal prototypes * Apply AI solutions to market research, financial analysis, and IP workflows * Build and deploy internal AI agents in Claude and OpenClaw environments Research & Innovation * Continuously research emerging AI tools, frameworks, and best practices * Evaluate tools for real-world applicability and integration into workflows * Share findings with the team and help drive adoption of high-impact tools Collaboration & Knowledge Sharing * Participate in weekly sessions reviewing AI developments, trends, and practical applications **Qualifications** Required * Currently enrolled in Northeastern University (Co-op Program) * Strong programming skills (Python preferred) * Familiarity with cloud platforms (GCP strongly preferred; AWS/Azure acceptable) * Experience working with APIs and deploying applications * Understanding of modern AI/LLM tools and workflows * Use Claude Code Preferred * Experience with: * Vertex AI, Cloud Run, or Kubernetes * LLM frameworks * Agent-based systems or orchestration tools * Exposure to security best practices in cloud environments * Interest in applied AI across business domains **What You’ll Gain** * Direct experience deploying real AI systems in production * Exposure to cutting-edge tools before they are widely adopted * Hands-on work across AI, infrastructure, and product development * A portfolio of tangible systems and deployments * Mentorship from leadership and real ownership of projects * Participate in a weekly in-person 2-hour Thursday session dedicated to reviewing and discussing the latest AI news, developments, trends, and best practices. This is an unpaid position running the January through June 2027 co-op cycle.