AI Full-Stack Engineer

Job Description

About Galaxy[SP1]

Galaxy is a global leader in digital assets and AI infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. Founded in 2018 and headquartered in New York City, we serve institutions, startups, protocols, and investors across a platform spanning trading, asset management, tokenization, and large-scale AI and high-performance computing data centers. This role sits on the AI products team, a small, high-ownership group that takes ideas from prototype to production and ships them at scale.

Why you’ll want this role:

• Greenfield, high-ownership work: build new AI products end to end, rather than maintaining legacy systems.
• Real impact: your work ships to institutional and individual clients and runs in production, not stuck in prototype.

Role Overview

As a Senior/Staff AI Full Stack Engineer on the AI products team, you will design, build, and ship production-grade applications powered by Galaxy’s AI platform. Your focus is on turning that platform into real products, either by building applications from scratch or by helping teams take their AI prototypes to production.

You are a product-minded, full stack engineer who is equally comfortable building a React frontend, a Python backend, and the CI/CD pipeline that ships it. You will act as a trusted advisor to teams across Galaxy, guiding them on best practices at the start of a prototype, and hands-on when it’s time to harden and scale that prototype into a production application. You take end-to-end ownership of development, from application code through to the infrastructure, CI/CD, and deployment that runs it reliably in production, owning the software and infrastructure engineering that gets a product shipped and kept live.

Key Responsibilities

Product Engineering, Build

• Need 7+ years of experience.
• 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

Prototype-to-Production

• 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 Galaxys 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

Product Advisory & Best Practices

• 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

Collaboration & Enablement

• 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

Qualifications

Mandatory Technical Skills

Frontend

• React (or similar component frameworks such as Angular, Vue, or Svelte)
• Experience building streaming UIs (SSE/WebSockets) for real-time AI response rendering, avoiding blocking/loading-only UX

Backend

• Python (primary; strong backend experience in a comparable language such as Go, Java, or Node.js considered if you’re ready to work primarily in Python)
• REST APIs
• FastAPI (or similar async Python API frameworks)

CI/CD & Infrastructure

• Kubernetes
• Terraform
• Docker
• Automated testing
• Git and modern branching/PR workflows

Databases & Data Platforms

• PostgreSQL
• Databricks
• Redis

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