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Описание вакансии
Текст:
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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