Senior Fullstack Developer
Posted Updated
- 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 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
- 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)
- Technical Experience: