--- title: '[Job - 32563] AI Lead Software Engineer, Brazil at CI&T' canonical: 'https://feeny.ai/job/job-32563-ai-lead-software-engineer-brazil-ci-t-brazil-6211k75mzk90' type: 'job' last_seen: '2026-11-08' --- # [Job - 32563] AI Lead Software Engineer, Brazil at CI&T - **Company:** CI&T - **Location:** Brazil - **Work type:** remote - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.lever.co/ciandt/1df2b582-88bd-4cd6-94c4-4919361c4a04 ## Job description 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. As CI&T grows its Data & Analytics Center of Excellence, we seek a talented and experienced Graph Database Developer to join a specialized team building an AI-powered fashion advisory platform for a leading client in the fashion and retail industry. This role is central to turning unstructured editorial content into a structured knowledge graph that powers real-time, intelligent style recommendations for end users attending formal events. The Graph Database Developer will work in a staff augmentation model, integrating with a cross-functional team that includes a Machine Learning Developer and a GenAI Agent Developer. This is a hands-on technical position requiring strong ownership of the graph data layer — from schema design through ingestion, entity resolution, and query performance — with direct impact on what the AI agent recommends to users. Responsibilities: Schema Design: Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles. Entity Ingestion: Build workflows that consume structured JSON payloads from the upstream data pipeline and load them into the graph database in batch mode. Probabilistic Entity Matching: Match extracted item mentions (for example, a bag described by type, color, and material) to the correct product node in a catalog of 50,000+ SKUs by scoring attribute overlap, assigning a match confidence, and creating the relationship only when it exceeds a defined threshold. Deduplicate items that appear inconsistently across different articles. Editorial Signal Weighting: Assign weights to relationships based on how prominently an item or trend was featured, distinguishing a dedicated feature from a passing mention. These weights determine what the AI agent surfaces first in its recommendations. Query Optimization: Design and tune openCypher traversal queries, including multi-hop queries, to return relevant results in under three seconds for downstream Amazon Bedrock Agents. Cross-Functional Collaboration: Work alongside the Machine Learning Developer and GenAI Agent Developer to align the graph structure with the retrieval and recommendation needs of the AI agent. Technical Validation: Support technical interviews and validation of new team members joining the graph database workstream, as needed. Requirements: Advanced English proficiency (C1 or above), with autonomy to communicate directly with international stakeholders Solid experience with the property graph data model Experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints Experience designing graph schemas, evaluating trade-offs between different modeling approaches Experience building entity resolution logic, including fuzzy matching, scoring algorithms, and deduplication across data sources Strong Python skills for data engineering, including batch processing of structured data payloads Ability to work independently in a fast-paced, staff augmentation setting with an established client team Nice to Have: Solid experience with Amazon Neptune Prior experience in fashion, retail, or e-commerce catalogs AWS certification in databases or data analytics Experience integrating graph databases with generative AI agents (for example, Amazon Bedrock Agents) Familiarity with recommendation systems or ranking/weighting logic for content surfacing ## #LI-JP3 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 And many more! 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. ## About CI&T ## Company Overview - **One-liner**: CI&T is a global digital services company that helps large enterprises deploy AI to drive measurable business impact through strategy, AI-native execution, and IP-based solutions. - **Entity Type**: Public (NYSE: CINT) - **Headquarters**: New York, United States - **Founded**: 1995 - **Founders**: Not publicly available as individual names ## Core Business - Primary industry/industries: IT Services and IT Consulting - Target customers: B2B, primarily large enterprises and fast-growth clients across multiple industries - Mission or purpose statement: "From AI ambition to measurable business impact." The company helps clients navigate change by pairing business strategy, AI-native execution, and IP-based solutions to turn AI investment into outcomes. ## Products & Services - **CI&T FLOW**: Proprietary AI system that boosts team productivity and ensures fast, efficient, and scalable results. - **Lean AI Methodology**: A structured approach for AI deployment that ships as fast as AI learns. - **AI-Native Execution**: Hands-on development and deployment of AI solutions for enterprise clients. - **Business Strategy & Consulting**: Identifying the right problems for clients and charting transformation roadmaps. - **Application Modernization**: Modernizing legacy systems for cloud-native, AI-ready infrastructure. - **Data & AI Services**: Data engineering, governance, business intelligence, data strategy, and analytics. - **Martech & Digital Experience**: Commerce services, digital product design, customer experience, and digital experience platforms. - **Professional Services**: General technology consulting and managed services. ## Market Standing - **Valuation/Market Cap**: USD 928.4 million (as of October 2024) - **Key Metric**: Annual Revenue of USD 489.6 million (fiscal year ending Dec 2024) - **Notable Investors/Partners**: Advent International (led private equity round in 2019); Google Cloud Partner; recognized as a Strong Performer in The Forrester Wave for Modern Application Development Services; recognized in Gartner Magic Quadrant for Custom Software Development Services. - **Growth Signals**: Headcount grew 15.9% year-over-year to over 8,000 employees across 25+ countries; serves 100+ large enterprises and fast-growth clients; IPO in 2021; recognized as a Glassdoor Best Places to Work. ## Competitive Advantages - **30-Year Track Record**: Proven history of helping clients navigate technological change since 1995. - **AI-Native Focus**: Deep specialization in generative AI and AI deployment, not just general IT services. - **Proprietary IP**: CI&T FLOW and Lean AI methodology create a differentiated, repeatable delivery model. - **Global Scale with AI Builders**: 8,000+ "AI Builders" across 11 countries, offering both scale and nearshore/offshore cost advantages. - **Analyst Recognition**: Consistently featured in Gartner Magic Quadrant and Forrester Wave reports. - **Diverse Client Base**: Serves over 100 enterprise clients across multiple sectors, reducing dependency on any single industry. ## Strategic Focus - **AI-First Transformation**: The company is fully pivoting to an AI-native model, positioning itself as the partner for enterprises moving from AI ambition to measurable impact. - **IP Monetization**: Scaling CI&T FLOW as a commercial product/service beyond internal use. - **Global Expansion**: Growing presence beyond Brazil (its largest talent base) into North America, Europe, and Asia-Pacific. - **Talent Growth**: Continuing to hire aggressively, especially in AI, data, and engineering roles. ## Why Work Here - **Culture & Inclusion**: Certified by the Great Place to Work Institute, featured on Glassdoor’s Best Places to Work list. Emphasis on diversity, equity, and inclusion with affinity groups and UN-recognized employment practices for people with disabilities. - **Remote/Hybrid Policy**: Most roles are remote (home office) within Brazil or other countries of operation. Some positions, especially senior or collaborative roles, are hybrid (e.g., 3x/week in Campinas, Brazil). - **Career Development**: Structured career process called "Journey" with a platform connecting feedback, results, and opportunities. Continuous support from leaders with personalized development plans. - **Global Exposure**: Work across 25+ countries and 11 operating nations with a diverse, multicultural team of over 8,000 people. - **Perks & Benefits**: Tailored benefits for personal and professional wellbeing, though specifics vary by location. - **Size & Stability**: Publicly traded company with 30 years of history, combining startup-like innovation with corporate stability. - **Engineering Culture**: Heavy emphasis on technical roles (53% of workforce is technical), with active hiring in AI, data, full-stack, and architecture positions. ## Sources 1. [ciandt.com - About Us](https://ciandt.com/sg/en/about-us) 2. [ciandt.com - Careers](https://ciandt.com/us/en-us/careers) 3. [investors.ciandt.com - IR Overview](https://investors.ciandt.com/) 4. [linkedin.com - CI&T Company Profile](https://www.linkedin.com/company/ciandt) 5. [jobs.lever.co - CI&T Open Positions](https://jobs.lever.co/ciandt) ## Other roles at CI&T - [[Job-32588] Gerente de Compras](https://feeny.ai/job/job-32588-gerente-de-compras-ci-t-campinas-0a0a4241n18p) — Campinas, Brazil - [[Job - 32592] Senior Backend Developer](https://feeny.ai/job/job-32592-senior-backend-developer-ci-t-brazil-gcbe2vw8cwcy) — Brazil - [[Job-32550] AI Orchestrator, Brazil](https://feeny.ai/job/job-32550-ai-orchestrator-brazil-ci-t-brazil-abhrem5h4krp) — Brazil - [[Job -32581] Senior Software Engineer](https://feeny.ai/job/job-32581-senior-software-engineer-ci-t-brazil-p6a8s0xm1c4r) — Brazil - [[Job-32591] Mid level Java - Vaga para pessoas PCD, Brazil](https://feeny.ai/job/job-32591-mid-level-java-vaga-para-pessoas-pcd-brazil-ci-t-brazil-23fwhf5e5f18) — Brazil - [[Job - 32559] User Researcher (Senior), Brazil](https://feeny.ai/job/job-32559-user-researcher-senior-brazil-ci-t-brazil-8m1gt4b8x07a) — Brazil - [[Job - 32560] UX Designer (Mid-Level), Brazil](https://feeny.ai/job/job-32560-ux-designer-mid-level-brazil-ci-t-brazil-q5y5amxryj30) — Brazil - [[Job-32519] JuniorData Developer (Databricks), Brazil](https://feeny.ai/job/job-32519-juniordata-developer-databricks-brazil-ci-t-brazil-sw7esd3esbfm) — Brazil - [[Job - 32565] AI Engineer Senior, Brazil](https://feeny.ai/job/job-32565-ai-engineer-senior-brazil-ci-t-brazil-vx3chbyy10g2) — Brazil - [[Job-31837] Master Data Developer - Data Ops, Brazil](https://feeny.ai/job/job-31837-master-data-developer-data-ops-brazil-ci-t-brazil-gwn93ycyw3nf) — Brazil