AI Engineering Co-op

About the Role

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

• 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.

This is an unpaid position running the January through June 2027 co-op cycle.