[Job-31573] AI Engineer Master

Ciandt; Brasil; Presencial; BRL 180 000 - 360 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellness & fitness partnerships (Gym)

Profit Sharing and Results Particip</p

Resumo da oferta

CI&T seeks an experienced AI Engineer to design, architect, and deploy advanced AI solutions for clients and internal teams. You will drive production-grade Generative AI, RAG architectures, and enterprise integrations, shaping architectural standards and AI practice evolution.

You will lead complex initiatives, implement LLMOps, and ensure secure, scalable, and cost-effective AI deployments aligned with business goals. English proficiency is essential in a global environment.

Qualificações

• 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.

Responsabilidades

• Design AI solution architectures, considering performance, scalability, security, technical governance, operational costs, and long-term sustainability.
• Build AI-powered products and platforms, ensuring strong engineering quality and alignment 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, leveraging embeddings, vector databases, GraphRAG, hybrid search, reranking, and grounding techniques.
• Integrate AI solutions with enterprise ecosystems, including ERPs, CRMs, transactional systems, data platforms, and business-critical applications.
• Evaluate and experiment with LLMs, Small Language Models (SLMs), multimodal models, and other components of the AI technology stack.
• Define metrics and AI evaluation strategies to ensure 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, influencing architectural decisions, promoting engineering best practices, and contributing to the technical evolution of the AI practice.

Conhecimentos

Python

LangChain

LangGraph

Semantic Kernel

LlamaIndex

OpenAI

Azure OpenAI

RAG architectures

Vector databases

Pinecone

Weaviate

Qdrant

Milvus

APIs & microservices

Azure/AWS/GCP

observability

Formação académica

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or related field

Ferramentas

Databricks

Snowflake

Descrição da oferta de emprego

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for an experienced AI Engineer to join our Data Science & Artificial Intelligence team, designing, architecting, and building advanced AI solutions for our clients and internal teams.

We are looking for someone with strong hands-on experience building and deploying AI solutions in production environments, with the ability to make architectural decisions, define technical standards, and lead complex initiatives throughout the entire solution lifecycle.

About the Role

As an AI Engineer, you will play a senior technical role, working from architecture and solution design through deployment, operation, and continuous improvement in production.

You will tackle complex challenges across Generative AI, intelligent agents, RAG, enterprise integrations, LLMOps, observability, and reliability, ensuring that AI solutions are scalable, secure, cost-effective, and aligned with business needs.

What You'll Do

• Design AI solution architectures, considering performance, scalability, security, technical governance, operational costs, and long-term sustainability.

• Build AI-powered products and platforms, ensuring strong engineering quality and alignment 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, leveraging embeddings, vector databases, GraphRAG, hybrid search, reranking, and grounding techniques.

• Integrate AI solutions with enterprise ecosystems, including ERPs, CRMs, transactional systems, data platforms, and business-critical applications.

• Evaluate and experiment with LLMs, Small Language Models (SLMs), multimodal models, and other components of the AI technology stack.

• Define metrics and AI evaluation strategies to ensure 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, influencing architectural decisions, promoting engineering best practices, and contributing to the technical evolution of the AI practice.

What We're Looking For

• 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.

• Experience implementing multi-agent architectures in production.

• Knowledge of Fine-Tuning, PEFT, LoRA, and other model customization techniques.

• Experience with Knowledge Graphs and GraphRAG.

• Experience with automated LLM evaluation and AI Evaluation frameworks.

• Advanced knowledge of MLOps and LLMOps.

• Experience with modern data platforms such as Databricks or Snowflake.

• Contributions to technical communities, open-source projects, or AI-related publications.

• Advanced certifications in AI, cloud architecture, or software engineering.

The Challenge

This role goes beyond AI experimentation and proof-of-concept development. We are looking for someone who can turn emerging AI capabilities into reliable, scalable, production-ready solutions, making sound technical decisions while keeping business impact at the center of the work.

Our 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

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.