AI Engineer – Master

🔥 12 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Design AI solution architectures considering performance, scalability, security, technical governance, operational costs, and long-term sustainability • Build AI-powered products and platforms aligned with business objectives • Design and develop intelligent agents and multi-agent systems, including planning, reasoning, task orchestration, tool usage, and integration with multiple data sources • Build advanced Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, GraphRAG, hybrid search, reranking, and grounding techniques • Integrate AI solutions with ERPs, CRMs, transactional systems, data platforms, and business-critical applications • Evaluate and experiment with LLMs, Small Language Models, multimodal models, and other AI technology components • Define metrics and AI evaluation strategies for solution quality, accuracy, consistency, and reliability • Implement observability and monitoring for AI applications, tracking performance, quality, cost, usage, latency, security, and model behavior • Establish LLMOps practices, including development, testing, versioning, deployment, and monitoring pipelines • Act as a technical reference, influence architectural decisions, promote engineering best practices, and contribute to the technical evolution of the AI practice • Design, architect, and build advanced AI solutions for clients and internal teams • Turn emerging AI capabilities into reliable, scalable, production-ready solutions with business impact

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field • Advanced English proficiency, with the ability to communicate effectively in a global environment • Strong experience developing and deploying Generative AI solutions in production environments • Experience designing technical architectures for complex, business-critical enterprise solutions • Experience technically leading complex, multidisciplinary initiatives • Advanced proficiency in Python • Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or equivalent frameworks • Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms • Advanced knowledge of RAG architectures, embeddings, and semantic search • Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or equivalent technologies • Experience developing APIs and microservices • Experience with Azure, AWS, or GCP • Knowledge of observability, monitoring, and reliability engineering practices • Nice to have: experience building AI platforms used across multiple clients, products, or business units • Nice to have: experience implementing multi-agent architectures in production • Nice to have: knowledge of Fine-Tuning, PEFT, LoRA, and other model customization techniques • Nice to have: experience with Knowledge Graphs and GraphRAG • Nice to have: experience with automated LLM evaluation and AI Evaluation frameworks • Nice to have: advanced knowledge of MLOps and LLMOps • Nice to have: experience with modern data platforms such as Databricks or Snowflake • Nice to have: contributions to technical communities, open-source projects, or AI-related publications • Nice to have: advanced certifications in AI, cloud architecture, or software 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 people with disabilities during the selection process