Senior AI Data Engineer

This is a fully remote position, open to applicants in Colombia, +3 more countries.

📋 Description

• Develop and enhance the fundamental platform for entity management and governance, encompassing entity types, attributes, cross-references (XREFs), and relationships.

• Construct and refine Named Entity Recognition (NER) pipelines for text and files by integrating LLM-based models, gazetteers, pattern matching, and blacklists.

• Expand NER functionalities to accommodate new content types, including live-stream content.

• Enhance search and entity discovery through entity resolution, personalized search, filtering, and relationship navigation.

• Design and query graph-based relationship models to facilitate traversal, visualization, and connected business context.

• Implement entity-level security and access controls across data retrieval and exploration.

• Integrate new data sources and support connections with consuming applications.

• Convert business requirements into technical solutions and AI workflows, rigorously validating AI-generated code and designs.

• Collaborate with stakeholders across various business domains to shape and prioritize the platform roadmap.

• Facilitate team onboarding and knowledge sharing.

⛳️ Requirements

• Over 7 years of software engineering experience, including the development or management of data-intensive platforms in production.

• Proficiency with search platforms such as Elasticsearch or OpenSearch, as well as experience in information retrieval and entity resolution.

• Familiarity with graph databases and knowledge graphs, such as Neo4j and Cypher.

• Applied experience in NLP and NER, including LLM-based extraction and open-source models like Gemma, Llama, GLiNER, or spaCy.

• Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog.

• Expertise in data ingestion and synchronization from multiple source systems.

• Strong systems thinking, architecture, and data modeling abilities, with experience in modeling complex business domains.

• Practical experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude, ChatGPT, and agentic workflows.

• Capability to critically assess, validate, and amend AI-generated outputs using sound engineering judgment.

• Excellent communication skills.

• Knowledge of permission-aware data access and security filtering.

• Proficiency in at least one programming language, such as Python, Java, or another language.

• Experience in the Oil & Gas sector or other asset-heavy industries is preferred.

🏝️ Benefits

• Equal opportunity employer committed to fostering an inclusive workplace.