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Appnovation

Senior Developer, Fullstack - Python

Posted 12 Days Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Build full-stack AI and data-platform applications, including Python backend automation, agent-enabled workflows, MCP servers, metadata and data-contract tooling, and platform discovery interfaces. Design APIs, asynchronous services, schemas, microservices, testing, and CI/CD pipelines while integrating LLMs, graph data, cloud infrastructure, and governance platforms. Contribute to architecture, scalability, security, code quality, and client-focused consulting delivery.
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About us

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.

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
  • 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 have a customer-first mindset and a devotion to customer service
  • You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
  • 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 are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs
  • 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
  • You have prior experience in consulting
  • Prior experience and connections in the Life Sciences industry is preferred
Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.
 
At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

Appnovation Toronto, Ontario, CAN Office

241 Spadina Ave Unit 500, Toronto, Canada, M5T 3A8

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