Sr. AI Eng – Ontology & Knowledge Graphs (LATAM)

Vantora • Guadalajara, Mexico

11d • Remote

About The Position

Vantora is a venture studio that builds startup companies and digital products. The Senior AI Engineer will design the knowledge layer powering AI agents by modeling complex business domains as ontologies, building knowledge graphs, and connecting them to LLM-based agentic workflows so agents can reason over structured, reliable context. The role uses Python, graph databases, and modern AI frameworks, and deploys solutions in Databricks and cloud environments. The position is remote from LATAM and involves daily collaboration with US-based teams.

Vantora builds high-growth technology startups focused on enabling faster, cleaner, and safer movement of people and goods. It partners with corporate investors and entrepreneurs to launch and scale mobility-focused software and hardware ventures, supporting new ventures from ideation through minimum viable product development and beyond, including recruiting and hiring the full-time teams that scale each business.

Requirements

• At least 5 years of experience in AI/ML, data, or knowledge engineering, including production experience.
• Hands-on experience designing ontologies and building knowledge graphs in real-world applications.
• Strong experience with graph databases such as Neo4j and query languages such as Cypher and/or SPARQL.
• Familiarity with semantic web standards including RDF, OWL, and SHACL, and ontology tools such as Protégé.
• Strong Python skills for data and ML pipelines.
• Practical experience with Generative AI and frameworks such as LangChain or CrewAI.
• Understanding of agentic system design, including memory management and dynamic context compression.
• Experience with NLP techniques for entity extraction, linking, and resolution.
• Advanced English for daily collaboration with US-based teams.

Nice To Haves

• Experience with GraphRAG or knowledge-graph-augmented LLM systems.
• Experience with Databricks and Apache Spark.
• Experience with LLM evaluation frameworks such as LangSmith or LangFuse.
• Experience with Palantir Foundry Ontology, Stardog, GraphDB, or Amazon Neptune.
• Academic or applied background in knowledge representation.

Responsibilities

• Design and maintain ontologies and domain models, including entities, relationships, and rules, for enterprise use cases.
• Build and operate knowledge graphs and context graphs that serve as memory and grounding for AI agents.
• Build data pipelines to extract, link, and load structured and unstructured data into graphs, including NLP-based entity and relation extraction.
• Integrate knowledge graphs with LLM and agentic workflows, including GraphRAG, LangChain, and CrewAI, as well as memory management and context strategies.
• Define evaluation criteria and measure how graph-grounded context improves agent accuracy.
• Work with product and engineering teams to turn domain knowledge into scalable, maintainable solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed