🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Company 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. Were an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner3300+ strong, 350/300m revenue business10+ years as a Great Place to Work in Ireland & UKBest Workplace for Women in the UK & Ireland by GPTWBest Workplace for Wellbeing in the UK by GPTWWere a core values driven company, we hire people who share our values, and we reward those who display and foster them, its deeply embedded within our DNA. Invest in us and well invest in you. 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 layerBuild responsive, production-quality frontends in React that deliver a great user experience for AI-driven featuresBuild robust, scalable backend services in Python that integrate with LLMs, agentic workflows, and enterprise data sourcesDesign and implement data layers using PostgreSQL, Databricks, and Redis as appropriate for the use casePrototype-to-Production Partner with product and engineering teams to take existing AI prototypes and re-architect, harden, and scale them into production-ready applicationsIdentify and remediate gaps in security, scalability, reliability, and performance before go-liveWork within Galaxys CI/CD pipelines using Kubernetes and Terraform to ensure applications are deployed, versioned, and scaled reliablyImplement automated testing and observability (logging, metrics, tracing, alerts) so applications are supportable in productionProduct 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 practicesDefine and evangelize reusable patterns, templates, and starter kits for building on the AI platformReview prototype architectures and provide clear, actionable recommendations to reduce rework later in the lifecycleBring a product mindset, balancing user needs, technical feasibility, and time-to-market when advising teamsCollaboration & Enablement Work closely with the AI Tech team to stay current on Bedrock platform capabilities and roadmapCollaborate with business stakeholders to translate real-world problems into shippable AI product featuresMentor 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.