Senior GenAI Engineer

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

📋 Description

• Design, develop, and sustain GenAI and Agentic AI applications within production settings.

• 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.

• Build and oversee MCP tooling, including aspects like 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.

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

• Manage prompt versioning, model routing, fallback strategies, and token/cost optimization.

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

• Engage in large-scale AI transformation initiatives for global clients and contribute to the strategy of the Agentic AI platform.

⛳️ Requirements

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

• Experience working with international clients and collaborating with global teams.

• Strong practical experience with 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 knowledge freshness.

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

• Experience with Azure, AWS, or GCP is a plus.

• Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms is advantageous.

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

• Knowledge of MLOps and automation in AI/ML pipelines is a plus.

• Understanding of AI security, governance, compliance, and data privacy regulations is an asset.

• Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering are a plus.

🏝️ Benefits

• Health and dental coverage.

• Meal and food allowances.

• Childcare support.

• Extended paternity leave.

• Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Access to a continuous learning platform (CI&T University).

• Membership in a discount club.

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

• Courses on pregnancy and responsible parenting.

• Collaborations with online learning platforms.

• Language learning opportunities.

• Support from the Health and Well-being team.

• Inclusion specialists and affinity groups.

• Accommodations and support for individuals with disabilities.