Senior AI Engineer

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

📋 Description

• Take ownership of AI solutions from the initial technical discovery phase through to production and ongoing enhancements.

• Design and refine Generative AI, RAG, and agentic applications.

• Establish technical strategies that consider quality, scalability, security, cost, maintainability, and operational effects.

• Create agents and workflows that engage with tools, APIs, databases, messaging systems, and enterprise platforms.

• Define orchestration patterns such as Human-in-the-Loop, long-running workflows, retries, fallback strategies, and deterministic controls.

• Develop evaluation, observability, guardrails, and reliability practices specifically for AI applications.

• Advise on model, retrieval, framework, and infrastructure selections based on technical trade-offs.

• Diagnose complex production problems related to models, prompts, retrieval, tools, integrations, and infrastructure.

• Collaborate with architects, engineers, product teams, and business stakeholders while offering technical guidance as necessary.

• Assist fellow engineers and contribute to the establishment of engineering standards and best practices for AI solutions.

⛳️ Requirements

• Proficient in Python development with a strong foundation in software engineering principles.

• Demonstrated ability to design and deliver production-ready Generative AI and LLM-based solutions.

• Extensive understanding of software design principles, including modularity, separation of concerns, testability, maintainability, resiliency, and clean interfaces.

• Capability to design services, APIs, asynchronous workflows, and distributed components for production settings.

• Practical experience with RAG and agentic AI patterns, including tool usage, function calling, orchestration, Human-in-the-Loop, and guardrails.

• Strong grasp of embeddings, vector search, retrieval strategies, chunking, reranking, and enterprise knowledge retrieval.

• Proficient with AI frameworks or SDKs such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, Strands, or similar.

• Hands-on experience with multiple LLM providers like OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar.

• Ability to evaluate trade-offs among models, providers, orchestration methods, retrieval strategies, and infrastructure options.

• In-depth knowledge of AI evaluation and observability, including quality, tracing, latency, token usage, failures, and costs.

• Good understanding of cloud-native practices such as scalability, resiliency, secrets management, configuration management, observability, and access control.

• Strong familiarity with Docker, CI/CD, automated testing, and version control systems.

• Fluent in English for technical discussions with international stakeholders.

• Knowledge of multi-agent systems and long-running agent workflows.

• Background in Agentic SDLC, coding agents, GitHub, or developer tooling integrations.

• Familiarity with knowledge graphs, GraphRAG, or hybrid retrieval architectures.

• Hands-on experience with Datadog LLM Observability, LangSmith, OpenTelemetry, or similar platforms.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Partnerships with gyms and health and wellness professionals through 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.

• Collaborations 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.