Назад
4 дня назад

Senior Developer, Fullstack (AI & Data Platform)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada/Brazil

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Описание вакансии

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TL;DR
Senior Developer, Fullstack (AI & Data Platform) (Python/React/AI): Building agent-enabled applications, backend automation, and user-facing interfaces that turn catalogue and metadata into governed, production-quality software with an accent on API design, data contracts, and AI-driven workflows. Focus on architecting MCP servers and autonomous agent frameworks, integrating LLMs with metadata systems, and delivering scalable services through testing and CI/CD.

Location: On-site in São Paulo, Brazil or Toronto, Canada

Company

Appnovation is a global, full-service digital partner providing strategy, experience and design, engineering, and managed services.

What you will do

  • Develop backend automation that integrates metadata sources and generates governed artifacts such as data contracts.
  • Design and build agent-enabled applications and workflows, including MCP servers and data-readiness tools.
  • Build user-facing interfaces for platform and data-discovery workflows.
  • Deliver production-quality services with robust API design, testing, and CI/CD practices.
  • Contribute to architecture, engineering best practices, scalability, security, and customer-focused consulting solutions.

Requirements

  • Bachelor’s degree in Computer Science or equivalent, plus 6+ years of software engineering experience focused on fullstack development.
  • Strong Python engineering skills with FastAPI, asynchronous programming, Pydantic, and JSON Schema.
  • Experience with React, Vue, ES6, TypeScript, RESTful APIs, microservices, unit and integration testing, Git, and CI/CD.
  • Experience architecting agentic workflows and AI-driven solutions with LLMs and autonomous frameworks.
  • Knowledge of Graph RAG data structures, Neo4j, Supabase, cloud computing, serverless architecture, and preferably AWS.
  • Understanding of data-engineering principles, agile methodologies, consulting, and customer-focused collaboration.

Nice to have

  • Experience building MCP servers in addition to consuming them.
  • Familiarity with data governance, catalogue tooling, and YAML data-contract standards.
  • Experience with Snowflake Cortex and Genie, Collibra, Unity Catalogue, Horizon, Docker, PostgreSQL, Databricks, and Snowflake.
  • Experience in regulated or life-sciences environments, with prior Life Sciences industry connections preferred.

Culture & Benefits

  • Collaborative work across data engineering, governance, and cross-functional client teams.
  • Focus on code quality, performance, scalability, security, lean thinking, and continuous improvement.
  • Fast-paced, diverse, high-performance environment with opportunities to learn new concepts and technologies.
  • Accommodations are available upon request throughout the recruitment process.

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