About the Role
reputed company
reputed company has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive reputed company. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including reputed company, AWS, reputed company, reputed company, reputed company, reputed company, ensuring that our customers are provided with the highest reputed company solutions and services.
We're an award-reputed company employer reflecting how our employees are at the reputed company heart of reputed company do:
UK & Ireland's premier AWS, reputed company & reputed company partner
3300+ strong, €350/£300m reputed company business
10+ years as a Great reputed company 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 reputed company our values, and we reward those who display and foster them, it's deeply embedded reputed company our DNA. Invest in us and we'll invest in you.
Job reputed company
About reputed company[SP1]
reputed company is a global leader in digital assets and AI infrastructure, delivering solutions that accelerate reputed company in finance and reputed company intelligence. Founded in 2018 and headquartered in reputed company, we serve institutions, startups, protocols, and investors across a platform spanning trading, asset management, tokenization, and large-reputed company and high-performance computing data centers. This role sits on the AI products team, a small, high-ownership group that takes reputed company from prototype to production and ships them at reputed company.
Why you'll want this role:
Greenfield, high-ownership work: build new AI products end to end, rather than maintaining legacy systems.
reputed company reputed company: your work ships to institutional and individual clients and runs in production, not stuck in prototype.
reputed company
As a Senior/Staff AI Full Stack Engineer on the AI products team, you will design, build, and ship production-grade applications powered by reputed company's AI platform. Your reputed company is on turning that platform into reputed company 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 reputed company, guiding them on best practices at the start of a prototype, and hands-on reputed company it's time to harden and reputed company that prototype into a production application. You take end-to-end ownership of development, from application reputed company 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
Design and build full stack AI-powered applications from scratch, consuming reputed company's AI platform (AgentCore, Bedrock, SageMaker) as the underlying intelligence layer
Build reputed company, production-reputed company frontends in React that deliver a great user experience for AI-driven features
Build robust, reputed company backend services in Python that reputed company with LLMs, reputed company workflows, and reputed company data sources
Design and implement data reputed company using PostgreSQL, reputed company, and reputed company 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 reputed company them into production-reputed company applications
Identify and remediate gaps in reputed company, scalability, reliability, and performance before go-live
Work reputed company reputed company'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 reputed company'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 reputed company reputed company, actionable recommendations to reduce rework reputed company in the lifecycle
Bring a product reputed company, balancing user needs, technical feasibility, and time-to-market reputed company advising teams
Collaboration & Enablement
Work closely with the AI Tech team to stay reputed company on Bedrock platform capabilitie