AI Engineer – Temporary Contract

🔥 56 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• Prepare context for each migration process, including functional documentation, source schema, and target data model, so the LLM generates accurate mappings in both directions • Design and tune prompts for proposing queries, mappings, and transformation rules, reducing rework during human review • Review generated SQL and mappings against both data models, validating entities, fields, relationships, and constraints • Resolve unreliable LLM cases, including identifiers that change format between systems and data conflicting with constraints while preserving those constraints • Build parameterized queries to detect changes on each side since the last sync, including non-database sources such as spreadsheets and document folders • Work with the Senior Python Developer on safeguards for LLM-generated SQL and controlled, approved writes to source systems • Automatically classify failed-to-sync records by root cause, including conflicts where the same data changed on both sides, and turn treatments into approved rules • Automate migration preparation tasks such as loading inputs, generating artifacts, and comparing artifact versions • Version approved artifacts with their source inputs and document preparation procedures for reuse by other teams

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field is desired, or equivalent professional experience • 3+ years of software development experience with Python and software engineering best practices • Advanced SQL skills working with PostgreSQL, MySQL, and cloud data warehouses such as BigQuery • 1+ year of experience building LLM applications that run in production, beyond prototypes • Experience integrating hosted LLM APIs into production environments, including structured output and its validation • Experience with prompt engineering, prompt versioning, fallback strategies, and cost and latency optimization • Experience evaluating LLM output with test cases and clear evaluation methodologies • Demonstrated ability to understand and modify a partially documented codebase that you did not write • Demonstrated use of AI tools in your daily workflow, with an explicit step to verify what they produce • Strong autonomy, attention to detail, and comfort with ambiguity as requirements evolve • Advanced English fluency • Experience in data migration or ETL projects • Experience with Vertex AI or Gemini • Experience extracting data from spreadsheets or documents • Experience with MLOps practices, including CI/CD, observability, and reproducible pipelines

🏖️ Benefits

• Employees can work remotely • 2-month contractor framework, with the possibility of extension