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Вакансия опубликована 12 дн. назад - шансы на ответ снижаются.

12 дней назад

Senior Fullstack Developer (AI & Data Platform)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний

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Описание вакансии

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

Location: São Paulo, Brazil

Company

Appnovation is a global, full-service digital partner delivering strategy, design, engineering, and managed digital 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, workflows, MCP servers, and AI-powered tools.
  • Build user-facing interfaces for platform and data-discovery workflows.
  • Deliver production-quality services with robust API design, testing, CI/CD, and microservices practices.
  • Contribute to architecture, engineering standards, scalability, security, and continuous improvement.

Requirements

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

Nice to have

  • Experience building MCP servers in addition to consuming them.
  • Familiarity with data-contract standards and catalogue platforms such as Collibra, Unity Catalogue, or Horizon.
  • Experience in regulated or life-sciences environments and existing Life Sciences industry connections.

Culture & Benefits

  • Customer-first, collaborative work across internal and external client relationships.
  • Opportunities to work in a diverse, cross-functional, fast-paced environment.
  • Emphasis on high standards for code quality, performance, scalability, and security.
  • Accommodations are available upon request throughout the recruitment process.

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