Desenvolvedor Python com GenIA Pleno

Accountabilities:

• • Develop and maintain solutions using Python, applying sound software engineering practices.
  • Design and implement Generative AI solutions and intelligent agents according to project requirements.
  • Develop agent-based solutions leveraging the MCP (Model Context Protocol) and A2A (Agent2Agent) protocols.
  • Integrate AI capabilities into applications and workflows to address practical business and technical challenges.
  • Explore and implement Retrieval-Augmented Generation (RAG) solutions where appropriate.
  • Work with AWS Bedrock and related cloud-based AI services when applicable.
  • Collaborate with technical teams and stakeholders to understand requirements and translate them into effective solutions.
  • Participate in troubleshooting, testing, continuous improvement, and optimization of AI-powered applications.
  • Contribute proactively to technical discussions and help identify opportunities to improve AI solutions and development processes.

  Requirements:

  • Professional experience with Python development.
  • Practical experience with Generative AI (GenAI) and the creation of AI agents.
  • Knowledge of MCP and A2A protocols and their application in agent-based solutions.
  • Familiarity with AI application development, APIs, integrations, and modern software engineering practices.
  • Experience with AWS Bedrock is desirable.
  • Experience implementing RAG (Retrieval-Augmented Generation) solutions is desirable.
  • Strong interest in emerging AI technologies and willingness to continuously learn in a rapidly evolving field.
  • Collaborative mindset and ability to work effectively as part of a technical team.
  • Strong communication skills, with the ability to explain technical concepts clearly.
  • Proactive attitude, ownership, and a strong sense of urgency and prioritization.

  Benefits:

  • Fully remote work model.
  • Initial 3-month engagement, with the possibility of being absorbed into the team afterward.
  • PJ (independent contractor) working model.
  • Learning and development incentives, including access to Udemy.
  • Corporate English classes at accessible rates.
  • Opportunity to work hands-on with Generative AI, AI agents, MCP, A2A, AWS Bedrock, and RAG.
  • Exposure to innovative AI projects and opportunities for continuous technical development.