• Design, develop, and maintain full-stack web application features across multiple client projects. • Build scalable backend services using C# and .NET Core. • Develop responsive and maintainable frontend applications using JavaScript and React or Angular. • Integrate CMS platforms, APIs, and third-party services to support content-driven digital experiences. • Participate in technical architecture discussions and contribute to technical decision-making. • Conduct and participate in code reviews to maintain engineering quality standards. • Collaborate closely with designers, strategists, producers, and fellow engineers throughout the development lifecycle. • Ensure code quality through testing, performance optimization, and adherence to development best practices. • Work independently while proactively communicating progress, risks, blockers, and recommendations. • Maintain technical documentation and support continuous improvement initiatives across projects.

• Підтримка та розвиток платіжного backend-стеку і пов’язаних сервісів. • Проєктування, впровадження та оптимізація інтеграцій з платіжними провайдерами, PSP та внутрішніми системами. • Розробка надійних, безпечних і масштабованих рішень для payment flow, reconciliation, refunds, chargebacks та related operations. • Підвищення стабільності, продуктивності та observability сервісів. • Технічне лідерство: менторинг команди, code review, участь у прийнятті архітектурних рішень, взаємодія з product та other engineering teams.

• Design, build, and maintain MCP servers and MCP-based integrations • Implement MCP tools, resources, prompts, and backend interfaces • Build reliable communication between AI agents, tools, and backend systems • Define clean contracts for MCP tools and services • Improve the stability, predictability, and maintainability of MCP infrastructure • Test MCP tool behavior across different usage scenarios • Monitor and improve the quality of AI-tool interactions • Build and maintain backend services using TypeScript and Node.js • Work with backend frameworks such as Hono, Fastify, NestJS, and Next.js backend/API routes • Implement REST APIs, internal endpoints, service-to-service integrations, and automation flows • Work with authentication, request validation, error handling, logging, and observability • Design clean, maintainable backend architecture for internal and production-facing systems • Write production-quality code with clear structure and good error handling • Build and deploy backend services on Cloudflare Workers • Work with edge runtime limitations and best practices • Design lightweight, performant services for edge/serverless environments • Debug issues related to worker execution, routing, request handling, and deployment • Use Cloudflare services when needed, such as KV, Durable Objects, Queues, R2, or D1 • Optimize backend services for performance, reliability, and cost efficiency • Build AI-powered workflows and internal automation tools • Design prompts, system instructions, and tool definitions for reliable AI behavior • Improve the quality, consistency, and predictability of AI outputs • Analyze AI workflow failures and improve prompts, context, or tool contracts • Structure data and context for better LLM performance • Build testable AI workflows that can be evaluated and improved over time • Work with LLM APIs such as OpenAI, Anthropic, Claude, or similar providers • Build integrations between internal systems, APIs, and AI tools • Automate repetitive operational or engineering workflows • Design backend flows that connect AI agents with real business systems • Ensure integrations are secure, observable, and maintainable • Build internal utilities and developer tools when needed • Investigate and fix issues across MCP servers, backend services, Cloudflare Workers, AI workflows, and API integrations • Improve logging, monitoring, and observability for AI/backend systems • Identify root causes of unreliable tool behavior or incorrect AI outputs • Make systems easier to debug, test, and maintain • Document technical decisions and implementation details clearly

• Design and deploy scalable backend systems and data pipelines that seamlessly integrate applied AI capabilities into FICO's analytics and decision management platform. • Build high-quality solutions for data ingestion, transformation, and storage, ensuring reliable, high-throughput data flow for real-time analytics. • Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO's platform. • Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes, mission-critical applications. • Partner with data scientists, ML engineers, and product teams to develop microservices and APIs that enable intelligent, data-driven decision-making. • Optimize distributed architectures and implement real-time processing frameworks to support high-volume, low-latency workloads. • Implement advanced monitoring, testing, and performance optimization techniques to ensure system reliability, security, and scalability. • Define and evolve architectural patterns that support FICO's analytics and decisioning solutions at scale. • Lead and mentor engineering team members, promoting best practices in software development, data engineering, AI integration, and systems design.