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:

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Schema Design: Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles.

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Entity Ingestion:



Build workflows that consume structured JSON payloads from the upstream data pipeline and load them into the graph database in batch mode.

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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.

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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.

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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.

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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.

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Technical Validation: Support technical interviews and validation of new team members joining the graph database workstream, as needed.

Requirements:

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Advanced English proficiency (C1 or above),



with autonomy to communicate directly with international stakeholders

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Solid experience with Amazon Neptune and the property graph data model

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Experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints

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Experience designing graph schemas, evaluating trade-offs between different modeling approaches

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Experience building entity resolution logic, including fuzzy matching, scoring algorithms, and deduplication across data sources

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Strong Python skills for data engineering, including batch processing of structured data payloads

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Ability to work independently in a fast-paced, staff augmentation setting with an established client team

Nice to Have:

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Prior experience in fashion, retail, or e-commerce catalogs

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AWS certification in databases or data analytics

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Experience integrating graph databases with generative AI agents (for example, Amazon Bedrock Agents)

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Familiarity with recommendation systems or ranking/weighting logic for content surfacing

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Our benefits include:

- Premium Healthcare

- Meal voucher

- Maternity and Parental leaves

- Mobile services subsidy

- Sick pay-Life insurance

- CI&T; University

- Colombian Holidays

- Paid Vacations

And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

📌 [Job - 30900] Master Data Developer (Amazon Neptune), Colombia
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📍 Colombia