Senior AI Data Engineer

About the role

Job Title: Senior AI Data Engineer

Key Skills: Data Engineering, Elasticsearch, OpenSearch, Knowledge Graphs, Neo4j, NLP, NER, LLMs, PostgreSQL, Kubernetes, AI-Assisted Development

Experience: 7+ years

Location: Costa Rica, Peru, Colombia, Bolivia

Work Mode: Remote

At Coforge, we are hiring Senior AI Data Engineer (#006fu00000eClH3AAK-2) with the following skill set.

Key Responsibilities

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Evolve and enhance the core platform for entity management and governance, including entity types, attributes, cross-references (XREFs), and relationships.

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Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.

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Extend NER capabilities to new content types, including live-stream content.

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

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

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

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Onboard new data sources and support integrations with consuming applications.

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Translate business requirements into technical solutions and AI workflows, critically validating AI-generated code and designs.

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

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Support team onboarding and knowledge sharing.

Required Skills & Qualifications

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7+ years of software engineering experience, including building or managing data-intensive platforms in production.

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Experience with search platforms such as Elasticsearch or OpenSearch, information retrieval, and entity resolution.

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Knowledge of graph databases and knowledge graphs, such as Neo4j and Cypher.

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

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

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Experience with data ingestion and synchronization from multiple source systems.

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Strong systems thinking, architecture, and data modeling skills, with experience modeling complex business domains.

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

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Ability to critically evaluate, validate, and correct AI-generated outputs using sound engineering judgment.