AI Full-Stack Engineer

Job description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. 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 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 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 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 AI & Product Strong product sense, able to advise teams on best practices and translate prototypes into scalable product architecture Comfortable working across the full stack, from UI to data layer to deployment pipeline Cloud Platform Strong hands-on familiarity with AWS, with recent professional experience built primarily on the AWS stack (not just general cloud exposure) Comfortable working alongside AWS-native AI services (Bedrock, SageMaker, AgentCore) Experience with core AWS services relevant to full stack product delivery, e.g. EC2, ECS/EKS, Lambda, API Gateway, S3, IAM, CloudWatch, VPC/networking basics Security Experience implementing AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production applications Soft Skills Strong communication skills; comfortable presenting architectural recommendations directly to engineering and business stakeholders Nice to haves Domain Experience working within the financial services domain is preferred Prior experience across Capital Markets, Digital Assets/Crypto, or AI infrastructure is highly desirable AI & Product Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock, SageMaker, or equivalent) Familiarity with vector databases and embeddings for AI-powered search/retrieval features Ability to evaluate AI feature quality from a product/UX lens (accuracy, latency, hallucination handling, graceful degradation), distinct from model-level evaluation owned by the AI platform team Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incenti