[Hiring] Senior AI Engineer @CI&T

Role Description

We are looking for a Senior AI Engineer to join a delivery team building Generative AI and Agentic AI solutions for a global enterprise client. You will help shape and deliver AI solutions from discovery to production, combining strong software engineering foundations with modern AI capabilities. The role involves hands-on work with RAG, AI agents, enterprise integrations, intelligent workflows, evaluation, observability, and cloud environments.

• Own AI solutions from technical discovery through production and continuous improvement.
• Design and evolve Generative AI, RAG, and agentic applications.
• Define technical approaches considering quality, scalability, security, cost, maintainability, and operational impact.
• Design agents and workflows that interact 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.
• Establish evaluation, observability, guardrails, and reliability practices for AI applications.
• Guide model, retrieval, framework, and infrastructure choices based on technical trade-offs.
• Troubleshoot complex production issues involving models, prompts, retrieval, tools, integrations, and infrastructure.
• Collaborate with architects, engineers, product teams, and business stakeholders, providing technical guidance when needed.
• Support other engineers and contribute to engineering standards and best practices for AI solutions.

Qualifications

• Strong Python development skills and solid software engineering foundations.
• Proven ability to design and deliver production-grade Generative AI and LLM-based solutions.
• Deep knowledge of software design principles, including modularity, separation of concerns, testability, maintainability, resiliency, and clean interfaces.
• Ability to design services, APIs, asynchronous workflows, and distributed components for production environments.
• Hands-on knowledge of RAG and agentic AI patterns, including tool use, function calling, orchestration, Human-in-the-Loop, and guardrails.
• Strong understanding of embeddings, vector search, retrieval strategies, chunking, reranking, and enterprise knowledge retrieval.
• Proficiency with AI frameworks or SDKs such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, Strands, or similar.
• Practical knowledge of multiple LLM providers such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar.
• Ability to assess trade-offs between models, providers, orchestration approaches, retrieval strategies, and infrastructure options.
• Strong knowledge of AI evaluation and observability, including quality, tracing, latency, token usage, failures, and cost.
• Good understanding of cloud-native practices such as scalability, resiliency, secrets management, configuration management, observability, and access control.
• Strong working knowledge of Docker, CI/CD, automated testing, and version control.
• Fluent English for technical discussions with international stakeholders.

Requirements

• 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 knowledge of Datadog LLM Observability, LangSmith, OpenTelemetry, or similar platforms.

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
• And many more!