Senior AI Data Engineer

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Remote Mexico, Mexico

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AI/ML

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BCM Industry

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08/04/2026

Req. VR-122155

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Project description

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

Responsibilities
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Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)

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Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)

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Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests

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Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.

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Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history

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Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required

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Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

Skills

Must have

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8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.

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Strong programming skills in languages such as Python and familiarity building ETL pipelines.

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Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)

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Familiarity with cloud platforms (e.g., AWS) and their services.

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Experience with version control systems (e.g., Git) and CI/CD pipelines.

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Ability to build scalable infrastructure to embed and search very large number of documents.

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Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

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Expertise in ML inference optimizations

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Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.

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Knowledge of network optimization for distributed ML training and inference.

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Understanding of distributed training patterns and checkpointing strategies.

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Strong English skills (B2 and higher)

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Strong verbal and written communication skills.

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Ability to work independently and collaborate in a group.

Nice to have

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Agile certification

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AWS/Oracle/Microsoft attestations and certifications

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Domain knowledge

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Trading and Capital Markets

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Remote Mexico, Mexico

Req. VR-122155

AI/ML

BCM Industry

08/04/2026

Req. VR-122155

Apply for Senior AI Data Engineer in Remote Mexico

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