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 Amazon Neptune and 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:

- 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

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.

📌 Master Data Developer (Amazon Neptune), Colombia
🏢 CIu0026T
📍 Colombia