Full-Stack AI Engineer

About us

Appnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.

Open source has been the foundation of Appnovation's work since 2007, and it remains the foundation underneath every AI product the company builds today. Appnovation teams work with organizations in highly regulated industries, including global leaders such as Pfizer, Google and AstraZeneca, to help them adopt AI they can govern and own.

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.

WHAT YOU WILL DO

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.

QUALIFICATIONS

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 GitHub 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 TypeScript.

Experience designing, developing, and consuming RESTful APIs and microservices.

Experience with unit testing, integration testing, and modern DevOps practices (e.g., Git, CI/CD pipelines).

Experience with Cloud Computing and Serverless Architecture, preferably AWS.

Strong understanding of agile principles and methodologies.

PREFERRED QUALIFICATIONS

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.

TECHNICAL EXPERIENCE

Backend (primary): Python - FastAPI, Pydantic, asynchronous services.

Frontend: React, TypeScript, 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

WHO YOU ARE

You think about how to scale, automate and operate, not just how to build a solution to an immediate problem

You understand lean thinking

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