• Architect and build robust full-stack systems to power a proprietary AI financial agent. • Develop scalable APIs and backend services designed to support complex agent workflows. • Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. • Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. • Connect and manage complex data pipelines sourced from various financial providers. • Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. • Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge.

• Ensure technical integrity, regulatory compliance, and operational excellence of Upvest’s SIPP proposition. • Act as the primary authority on UK pension legislation. • Work closely with Product, Engineering, Compliance, and Operations teams. • Lead regulatory oversight and stay abreast of FCA, DWP, and HMRC developments. • Solve complex technical queries and act as the escalation point for clients. • Drive product compliance through analysis of legislative changes. • Enhance governance by identifying emerging risks within the SIPP market. • Coach and develop staff through technical training materials. • Manage external relationships with partners and financial advice firms.

• Take end-to-end ownership of features and services: from design and coding to deployment, monitoring, and maintenance (“You build it, you run it”). • Collaborate with product managers and designers to shape solutions that solve real user problems. • Modernize and expand our front end while contributing to backend services and databases. • Contribute to the architecture, design, and implementation of new product capabilities. • Set up and improve CI/CD pipelines to deliver frequently and with confidence. • Ensure quality through testing (TDD/BDD), code reviews, and proactive issue prevention. • Apply best practices in DevOps, Automation, and Operational Excellence. • Share knowledge with the team.

• Design and build AI agent tools: Create backend services and APIs that AI agents can invoke to query data, trigger workflows, and interact with internal and external systems. • Integrate with existing services and APIs: Connect agent tooling to LanguageWire’s internal platform APIs, third-party services, and databases. • Define tool schemas and contracts: Design clear, well-documented tool interfaces that LLMs and orchestration layers can reliably consume. • Build agentic features and workflows: Implement end-to-end automated workflows where AI agents solve specific business cases across departments, from operations and finance to sales and project management. • Own your services end-to-end: From architecture and coding to deployment, monitoring, and maintenance (“You build it, you run it”). • Contribute to backend services and data layers: Extend existing .NET microservices and databases to expose the capabilities needed by AI tools. • Set up and improve CI/CD pipelines to ship reliably and frequently. • Apply DevOps and Operational Excellence best practices to ensure agent tools are observable, resilient, and secure. • Share knowledge with the team and help define how we build AI-powered products.