Senior AI Engineer

🔥 10 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• 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 • Join a delivery team building Generative AI and Agentic AI solutions for a global enterprise client • Shape and deliver AI solutions from discovery to production using software engineering and modern AI capabilities

🎯 Requirements

• 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 • English for technical discussions with international stakeholders • Nice-to-have: knowledge of multi-agent systems and long-running agent workflows • Nice-to-have: background in Agentic SDLC, coding agents, GitHub, or developer tooling integrations • Nice-to-have: familiarity with knowledge graphs, GraphRAG, or hybrid retrieval architectures • Nice-to-have: 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 • Health and well-being team, inclusion specialists, and affinity groups • Support and accommodations for people with disabilities • Support in obtaining disability assessment