Senior Software Developer

This is a fully remote position, open to applicants in Brazil.

📋 Description

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

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

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

• Implement RAG pipelines, integrate external knowledge, manage memory, and orchestrate context strategies.

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

• Build and maintain MCP tools, incorporating authentication, schema design, version control, 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 operations that are sensitive or high-risk.

• 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 provide scalable AI solutions that align with business goals.

⛳️ Requirements

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

• Experience working with international clients and global teams is essential.

• Strong hands-on experience with Automation, Generative AI, LLMs, RAG, and agent-based architectures.

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

• Experience in designing secure, scalable, and production-ready 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 strategies for maintaining knowledge freshness.

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

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

• Nice to have: Knowledge of MLOps and automation of AI/ML pipelines.

• 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.

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

• Support and accommodations for individuals with disabilities during the selection process.