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Metro-based senior fullstack AI role with broad technical requirements yields moderate applicant competition.
Fullstack skills are transferable but AI platform and cloud/LLM experience make domain fit moderately sensitive.
Multiple mandatory technologies, AWS/AI platform experience, and 7+ years requirement make shortlisting strict.
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Design, build, and ship production-grade end-to-end AI-powered applications using Galaxy's AI platform, covering frontend, backend, CI/CD, and deployment.
Partner with product and engineering teams to convert AI prototypes into scalable, production-ready applications with focus on security, reliability, and performance.
Advise and mentor teams on architectural best practices and reusable patterns; lead product advisory during prototype stages, ensuring smooth transition to production.
7+ years of professional experience in software engineering.
Strong hands-on experience with React (or similar) frontend development and Python backend development (FastAPI or similar).
Proven experience working with AWS cloud platform and AI services (Bedrock, SageMaker, AgentCore).
Experience with CI/CD tools and infrastructure technologies: Kubernetes, Terraform, Docker; familiarity with PostgreSQL, Databricks, and Redis.
Product-minded full stack engineer with ability to own application development from UI to data layer to deployment pipeline in an AI context.
Experienced in guiding cross-functional teams on building and scaling AI-powered products, focusing on operational production readiness.
Background or familiarity with financial services, digital assets, or AI infrastructure domains is preferred but not mandatory.