AI Engineer Master

CI&T; Brasil; Presencial; BRL 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub partnership (Gympass)

Resumo da oferta

CI&T is seeking an experienced AI Engineer to join our Data Science & Artificial Intelligence team. You will design, architect, and deploy advanced AI solutions for clients and internal teams, tackling Generative AI, RAG, and enterprise integrations across complex projects.

You will lead architecture decisions, define technical standards, and drive production-grade AI systems with a focus on reliability, cost efficiency, and business impact. Strong Python and cloud experience are required.

Qualificações

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or related field.
• Advanced English proficiency and global communication能力.
• Strong experience developing and deploying Generative AI solutions in production environments with architectural oversight.
• Experience designing technical architectures for complex, enterprise-scale solutions.
• Proven ability to lead multidisciplinary initiatives and promote engineering best practices.
• Advanced proficiency in Python and modern AI tooling such as LangChain and related frameworks.
• Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
• Deep knowledge of RAG architectures, embeddings, and semantic search.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus).
• Experience developing APIs and microservices; cloud experience with Azure/AWS/GCP.
• Strong observability, monitoring, and reliability engineering practices.

Responsabilidades

• Design AI solution architectures considering performance, scalability, and governance.
• Build AI-powered products and platforms with strong engineering quality.
• Develop intelligent agents and multi-agent systems with data integration.
• Create advanced RAG architectures using embeddings, graphs, and hybrid search.
• Integrate AI with enterprise ecosystems (ERPs, CRMs, data platforms).
• Evaluate and experiment with LLMs and multimodal models.
• Define metrics and AI evaluation strategies for quality and reliability.
• Implement observability and monitoring for AI applications.
• Establish LLMOps practices including pipelines for development, testing, deployment, and monitoring.
• Influence architectural decisions and advance AI practice within the team.

Conhecimentos

Advanced English

Python

LLMOps

RAG architectures

LangChain

LangGraph

Semantic Kernel

LlamaIndex

APIs

Microservices

Vector databases

Azure

AWS

GCP

Databricks

Snowflake

Formação académica

Bachelor's degree in CS/Engineering

Ferramentas

Pinecone

Weaviate

Qdrant

Milvus

OpenAI Platform

Azure OpenAI

Anthropic

Gemini

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.

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)