Senior Product Engineer - AI at MUFG FUND SERVICES UK LIMITED

Limassol, Cyprus, Cyprus -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

TypeScript, JavaScript, Vue.js 3, Python, PostgreSQL, AWS, API Design, Service-Oriented Architecture, AI Integration, LLM, Cloud Computing, Clean Architecture, CI/CD, Observability, Frontend Architecture, Backend Development

Industry

Financial Services

Description

Company Description Experience something Brilliantly Different with a career at MUFG Investor Services. Who are we? In a nutshell, MUFG Investor Services is part of the Mitsubishi UFJ Financial Group, and we partner with over 480 loyal global investment firms to provide them with administration, asset services, banking and fund financing. We’re in 14 global locations and provide an exceptional hub of Brilliantly Different talent to thrive. Job Description We are hiring a Senior Product Engineer to design and deliver AI-enabled platform capabilities and internal/external products. This is not a traditional full-stack role. You will operate as an end-to-end owner, from problem discovery through production deployment, shaping how AI agents are embedded into enterprise-grade systems. You will work at the intersection of product, platform, and AI, helping define the next generation of AI-native engineering within the organization. You Will: Own the full software development lifecycle for new platform capabilities and product features — from discovery and ideation through delivery, production deployment, and continuous improvement. Design and implement end-to-end solutions across frontend, backend, data, and integration layers, with clear boundaries and scalable architecture. Collaborate directly with internal stakeholders and customers to understand business problems deeply and translate them into pragmatic, production-grade solutions. Partner closely with the AI Research team to integrate, evaluate, iterate, and harden AI agents within platform capabilities. Embed product functionality into AI-enabled workflows, enabling consistent, reusable patterns for teams and products. Contribute to architecture decisions that support scalability, observability, security, and long-term platform evolution. Drive engineering excellence through automation, AI-assisted development, and strong DevEx practices. Operate with high autonomy in a fast-moving, product-driven environment, prioritizing outcomes over activity. AI & Innovation Mindset: Strong interest in AI and AI-augmented engineering workflows and how agents reshape product capabilities and user workflows. Practical experience using AI development tools (e.g., Claude, Copilot) responsibly — with verification, security awareness, and quality control. Direct LLM/AI integration experience is beneficial but not required. Preferred: Deep experience in product development and service-oriented architecture patterns. Experience with observability (logs/metrics/traces), production readiness, and incident-aware engineering. Experience building platform “paved roads”: shared libraries, templates, developer tooling, automation, and standard workflows. Experience with enterprise or regulated environments with strong security, quality, and release discipline. Experience with design systems, accessibility standards, and building consistent, reusable UI patterns at scale. Qualifications You Have (Required): 8+ years of professional software engineering experience, with demonstrated ownership of complex features or products end-to-end. Ability to operate in fast-growing, product-driven organizations, navigating ambiguity and structuring loosely defined problems. Strong proficiency in TypeScript and modern JavaScript, building production-grade applications. Experience with modern frameworks (preferred Vue.js 3) and modern frontend architecture patterns. Strong proficiency in at least one backend language (Python preferred, but not required) and comfort working across frontend/backend boundaries. Experience with relational databases (e.g., PostgreSQL), including data modeling and practical performance considerations. Experience designing, building, and consuming APIs and integrations. Experience designing, implementing, and supporting resilient cloud based system (e.g. AWS). Strong engineering fundamentals: clean architecture, maintainability, testing mindset, code reviews, and CI discipline. Additional Information What’s in it for you to join MUFG Investor Services? Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT. Oh, and we really walk the talk when it comes to HYBRID WORKING. So, why settle for the ordinary? Apply now for a Brilliantly Different career. We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted. Rank: Associate Director Employment Type: Permanent Full Time

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Responsibilities

Design and deliver AI-enabled platform capabilities and products, owning the full software development lifecycle from discovery to production. Collaborate with AI Research teams to integrate AI agents into enterprise-grade systems and scalable architectures.