Master Software Developer – AI Generative

This is a fully remote position, open to applicants in Brazil, +1 more state.

📋 Description

• Design, develop, and maintain GenAI and Agentic AI applications for production environments.

• Create customizable agent solutions utilizing LangChain, DeepAgents, Strands AI, or similar Agent SDKs.

• Develop production-quality Python tools and reusable AI components.

• Implement RAG pipelines, external knowledge integrations, memory management, and context orchestration strategies.

• Design secure sandboxed execution environments for agent tools, encompassing permissions, secrets management, network restrictions, and auditability.

• Build and sustain MCP tools, including authentication, schema design, versioning, retries, and safe execution boundaries.

• Implement observability, tracing, logging, and monitoring for prompts, tool calls, model performance, latency, and cost optimization.

• Create automated evaluation and testing frameworks for AI agents, including golden datasets, regression tests, hallucination detection, and quality gates.

• Design human-in-the-loop approval workflows for sensitive or high-risk operations.

• Manage prompt versioning, model routing, fallback strategies, and token/cost optimization for enterprise AI systems.

• Collaborate with Data, Analytics, Platform Engineering, and business stakeholders to deliver scalable AI solutions aligned with business objectives.

⛳️ Requirements

• Advanced / Fluent English (C1 or higher) is required.

• Experience working with international clients and global teams.

• Strong hands-on experience with Automation, Generative AI, LLMs, RAG, and agent-based architectures, including Claude Code, Codex, Cursor, or Windsurf.

• Proficiency in Python and adherence to software engineering best practices.

• Experience in designing secure, scalable, and production-grade AI systems.

• Solid understanding of AI model evaluation, deployment, observability, and operational reliability.

• Experience with agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration.

• Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies.

• Ability to work independently in complex, fast-paced, and ambiguous environments.

• Experience with Docker, Kubernetes, and containerized AI workloads.

• Nice to have: experience with Azure, AWS, or GCP, particularly in deploying Generative AI solutions in cloud settings.

• Nice to have: familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms.

• Nice to have: knowledge of MLOps and AI/ML pipeline automation.

• Nice to have: understanding of AI security, governance, compliance, and data privacy regulations.

• Nice to have: certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Continuous learning platform (CI&T University).

• Discount club.

• Free online platform dedicated to physical, mental, and overall well-being.

• Pregnancy and responsible parenting course.

• Partnerships with online learning platforms.

• Language learning platform.

• Inclusion support and workplace accommodations for people with disabilities.

• Dedicated Health and Well-being team, inclusion specialists, and affinity groups.