Responsibilities
- Design and build full stack AI-powered applications from scratch, consuming Galaxy's AI platform (AgentCore, Bedrock, SageMaker) as the underlying intelligence layer
- Build responsive, production-quality frontends in React that deliver a great user experience for AI-driven features
- Build robust, scalable backend services in Python that integrate with LLMs, agentic workflows, and enterprise data sources
- Design and implement data layers using PostgreSQL, Databricks, and Redis as appropriate for the use case
- Partner with product and engineering teams to take existing AI prototypes and re-architect, harden, and scale them into production-ready applications
- Identify and remediate gaps in security, scalability, reliability, and performance before go-live
- Work within Galaxy’s CI/CD pipelines using Kubernetes and Terraform to ensure applications are deployed, versioned, and scaled reliably
- Implement automated testing and observability (logging, metrics, tracing, alerts) so applications are supportable in production
- Act as the go-to advisor for teams starting new AI prototypes, providing early guidance on Galaxy's architectural and product best practices
- Define and evangelize reusable patterns, templates, and starter kits for building on the AI platform
- Review prototype architectures and provide clear, actionable recommendations to reduce rework later in the lifecycle
- Bring a product mindset, balancing user needs, technical feasibility, and time-to-market when advising teams
- Work closely with the AI Tech team to stay current on Bedrock platform capabilities and roadmap
- Collaborate with business stakeholders to translate real-world problems into shippable AI product features
- Mentor engineers across teams on full stack best practices for building AI-powered products
Requirements
- 7+ years of experience
