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

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

• 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

• Bachelor’s Degree in Computer Science, or equivalent
• Experience with unit testing, integration testing, and modern Dev Ops 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 Type Script
• Experience developing and optimizing code using AI-powered tools such as Claude Code and Git Hub 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

• 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, Type Script, Next.js;
  Supabase (interfaces align with the platform’s established internal tooling)