We are looking for a technically strong systems thinker who works where business problems, software engineering and AI meet.
This is not a traditional developer role.
You will use AI-assisted engineering, data modeling, and product thinking to evolve into a platform that serves many business teams.

What You'll Do
Evolve the core platform for entity management and governance: entity types, attributes, cross-references (XREFs) and relationships Build and improve Named Entity Recognition (NER) pipelines for text and files, combining LLM-based models (e.g., Gemma), gazetteers, pattern matching and blacklists Extend NER to new content types, such as live-stream content Improve search and entity discovery: entity resolution, personalized search, filtering and relationship navigation Design and query graph-based relationship models that support traversal, visualization and connected business context Make sure entity-level security and access control (e.g., litigation, ownership and restricted-data filtering) is applied across retrieval and exploration Onboard new data sources and support integrations with consuming applications Turn business requirements into technical solutions and AI workflows,



and critically validate AI-generated code and designs Work with stakeholders across several business domains to shape and prioritize the platform roadmap Support onboarding and knowledge sharing within the team What We're Looking For (Must-have): 7+ years of software engineering experience, including building or running data-intensive platforms in production Search platforms: Elasticsearch / OpenSearch, information retrieval, entity resolution Graph databases and knowledge graphs: e.g., Neo4j, Cypher Applied NLP / NER: LLM-based extraction, open-source models (Gemma, Llama), GLiNER, spaCy PostgreSQL, Kubernetes, and observability tools (e.g., Datadog) Data ingestion and synchronization from multiple source systems Strong systems thinking, architecture and data modeling skills, with a track record of modeling complex business domains Hands-on, mature use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT, agentic workflows) Proven ability to challenge, verify and correct AI outputs using sound engineering judgment Excellent communication Permission-aware data access and security filtering Nice-to-have Experience in Oil

📌 Senior Data Ai Engineer (Xico)
🏢 EPIKSO MEXICO
📍 Xico