Senior Developer, Fullstack - Python

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.

ABOUT THE ROLE

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.
• 6+ years of experience in software engineering with a strong focus on fullstack development.
• Experience developing and optimizing code using AI-powered tools such as Claude Code and Git Hub Copilot to enhance productivity and code quality.
• 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).
• Understanding of Graph RAG data structures.
• Experience with Neo4j, Supabase.
• Proven track record in architecting agentic workflows and AI-driven solutions, incorporating deep integration with LLMs and sophisticated autonomous frameworks.
• Proficiency in modern frontend frameworks, specifically React and Vue.js, as well as ES6 and Type Script.
• Experience designing, developing, and consuming RESTful APIs and microservices.
• Experience with unit testing, integration testing, and modern Dev Ops practices (e.g., Git, CI/CD pipelines).
• Experience with Cloud Computing and Serverless Architecture, preferably AWS.
• Strong understanding of agile principles and methodologies.

• Experience building MCP servers in addition to consuming them.
• Familiarity with data governance and catalogue tooling and with data-contract standards.
• Experience in a regulated or life-sciences environment.

• Backend (primary): Python - FastAPI, Pydantic, asynchronous services.
• Frontend: React, Type Script, Next.js;
  Supabase (interfaces align with the platform’s established internal tooling).
• 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.
• Infrastructure and data: Docker, AWS, PostgreSQL, Databricks, Snowflake, Supabase

• You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
• You understand lean thinking
• You set high standards for code quality, performance/scalability and security and seek continuous improvement
• You have solid analytical, problem-solving, and…