6 дней назад
Consulting Engineer (LATAM) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Consulting Engineer (LATAM) (AI): Implementing graph-powered solutions and production-ready Neo4j architectures for enterprise customers with an accent on graph data modelling, data engineering, and AI-powered applications. Focus on designing scalable solutions, integrating Neo4j with LangChain or LlamaIndex, optimizing data ingestion, and guiding customer teams through deployment.
Location: Remote, based in São Paulo, Brazil; travel to client sites may be required.
Company
provides a graph intelligence platform for knowledge graphs, data analytics, and AI-powered applications.
What you will do
- Implement solutions with enterprise customer engineering teams across the full project lifecycle, from initial design through production rollout.
- Design graph data models and scalable solution architectures for complex relationships, high-performance querying, and analytics.
- Structure graph data for modern search and AI patterns, including RAG and GraphRAG.
- Integrate with orchestration frameworks such as LangChain and LlamaIndex, and optimize data ingestion patterns.
- Provide technical guidance, explain complex concepts, and train and mentor customer teams on graph development best practices.
- Contribute to proposals, level-of-effort assessments, statements of work, and technical recommendations while collaborating with sales, sales engineering, and support.
Requirements
- Fluency in Brazilian Portuguese and English is required.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience designing and developing enterprise applications, especially data-driven or analytics-focused systems.
- Strong experience with data modelling, complex data structures, scalable software architectures, and data engineering.
- Hands-on experience with at least one of Java, JavaScript, Python, Go, or C#.
- Experience with Linux, Docker, Kubernetes, Git, customer-facing technical communication, and independent work in a remote organization.
Nice to have
- Professional Services consulting experience.
- Experience with graph databases such as , TigerGraph, or JanusGraph.
- Experience in financial services, life sciences, manufacturing, or technology.
- Familiarity with Snowflake, Databricks, MongoDB, Couchbase, Teradata, data science packages, or major cloud platforms.
- Spanish proficiency.
Culture & Benefits
- Work in a remote, cross-functional organization.
- Collaborative, inclusive, and intellectually honest working culture.
- Opportunity to contribute to graph data, analytics, and AI solutions used by enterprise customers globally.
- Travel to customer sites as required by consulting engagements.
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