Senior Fullstack Developer

About Appnovation Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities Senior Developer (Fullstack AI & Data Platform) As a Senior Developer, Fullstack (AI & Data Platform), you will join a highly motivated and experienced team building agent-enabled applications and backend automation that turn catalogue and metadata into governed, production-quality software Responsibilities Working alongside data engineering and governance partners, you will design services, tooling, and user-facing interfaces that make data discoverable, trustworthy, and easy to consume across the platform We are looking for people who can bring a strong, consulting and solution-focused mindset and contribute to architectural decisions, best practices and get things done Develop backend automation that integrates multiple metadata sources and generates governed artifacts - for example, automatically producing a data contract for review, editing, and publication to the registry Design and build agent-enabled applications and workflows, including MCP servers and tools such as a data-contract generator or a data-readiness assessment utility Build user-facing interfaces for platform and discovery workflows Deliver production-quality services with sound API design, testing, and CI/CD practices Requirements Bachelor’s Degree in Computer Science, or equivalent Experience with unit testing, integration testing, and modern DevOps practices (e.g., Git, CI/CD pipelines) Proven track record in architecting agentic workflows and AI-driven solutions, incorporating deep integration with LLMs and sophisticated autonomous frameworks Experience designing, developing, and consuming RESTful APIs and microservices Proficiency in modern frontend frameworks, specifically React and Vue.js, as well as ES6 and TypeScript Experience developing and optimizing code using AI-powered tools such as Claude Code and GitHub Copilot to enhance productivity and code quality Experience with Neo4j, Supabase 6+ years of experience in software engineering with a strong focus on fullstack development Understanding of Graph RAG data structures Experience with Cloud Computing and Serverless Architecture, preferably AWS Strong understanding of agile principles and methodologies Software engineers who understand data-engineering principles and can transform catalogue and metadata output into working software Strong Python engineering skills, including API and service design (e.g., FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema) You have prior experience in consulting You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies Prior experience and connections in the Life Sciences industry is preferred You have a customer-first mindset and a devotion to customer service You understand lean thinking You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities You think about how to scale, automate and operate, not just how to build a solution to an immediate problem You set high standards for code quality, performance/scalability and security and seek continuous improvement You have solid analytical, problem-solving, and decision-making skills You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs Experience in a regulated or life-sciences environment Familiarity with data governance and catalogue tooling and with data-contract standards Experience building MCP servers in addition to consuming them Technical Experience Infrastructure and data: Docker, AWS, PostgreSQL, Databricks, Snowflake, Supabase AI and agents: MCP (build and consume), large language model and agent frameworks, Snowflake Cortex and Genie, Neo4j Governance and catalogue: Collibra, Unity Catalogue, Horizon; YAML data contracts Backend (primary): Python - FastAPI, Pydantic, asynchronous services Frontend: React, TypeScript, Next.js; Supabase (interfaces align with the platform’s established internal tooling) #J-18808-Ljbffr