Назад
2 дня назад

Senior Developer, Fullstack (AI & Data Platform)

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

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Описание вакансии

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TL;DR
Senior Developer, Fullstack (AI & Data Platform) (AI/data platform): Building agent-enabled applications, backend automation, and user-facing discovery interfaces that turn catalogue and metadata into governed, production-quality software with an accent on Python services, data contracts, and AI-driven workflows. Focus on designing MCP servers and agentic applications, integrating LLM frameworks, and delivering scalable APIs, microservices, and CI/CD-enabled services.

Location: On-site in São Paulo, Brazil; Toronto, Canada; or New York, Austin, Miami, Dallas, or Phoenix, United States

Company

Appnovation is a global 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-focused tools.
  • Build user-facing interfaces for platform and data-discovery workflows.
  • Deliver production-quality APIs and services with testing, CI/CD, and scalable architecture.
  • Collaborate with data engineering and governance partners on discoverable, trustworthy, and consumable data platforms.

Requirements

  • Bachelor’s degree in Computer Science or equivalent and 6+ years of software engineering experience focused on fullstack development.
  • Strong Python skills with FastAPI, asynchronous services, Pydantic, JSON Schema, API design, and service development.
  • Experience with React, Vue.js, TypeScript, ES6, RESTful APIs, microservices, unit and integration testing, Git, and CI/CD.
  • Experience with AI-powered development tools, LLM and agent frameworks, Graph RAG, and agentic workflows.
  • Experience with Neo4j, Supabase, cloud computing, serverless architecture, and preferably AWS.
  • Understanding of data engineering, data governance, catalogue tooling, agile methodologies, and consulting practices.

Nice to have

  • Experience building MCP servers in addition to consuming them.
  • Familiarity with data-contract standards, Collibra, Unity Catalogue, Horizon, Snowflake Cortex, or Genie.
  • Experience in regulated or life-sciences environments and existing connections in the life-sciences industry.

Culture & Benefits

  • Customer-first, solution-focused consulting environment with cross-functional collaboration.
  • Emphasis on code quality, performance, scalability, security, automation, and continuous improvement.
  • Opportunity to work across rapidly changing business needs and multiple initiatives.
  • Inclusive workplace committed to diversity, equity, and inclusion.
  • Accommodations are available upon request throughout the recruitment process.

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