AI Engineer (temporary contract)

Posted 17 Hours Ago
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Hiring Remotely in Mexico City, Cuauhtémoc, Mexico City, MEX
In-Office or Remote
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
Build production LLM applications for a data migration platform. Develop prompts, mappings, transformation rules, parameterized queries, and safeguards for generated SQL. Validate LLM outputs, classify sync failures, automate migration preparation, version approved artifacts, and support bidirectional synchronization across databases, spreadsheets, and documents.
Summary Generated by Built In
Company Description

 

 

Job Description

About You

You are an AI Developer who turns large language models into reliable, production-ready data logic. You will join the team building a migration platform, where an LLM proposes SQL and mappings, a person reviews and approves them, and the approved logic is reused at scale. Your focus will be the reverse direction of the sync, taking changes made in the target platform back into each source system, along with the rules that classify and resolve the records that fail to sync.

Note: This position is offered under a 6-month contractor framework, with the possibility of extension.

You Bring to Applaudo the Following Competencies:

  • 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.

Nice to haves:

  • 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.

You Will Be Accountable for the Following Responsibilities:

  • Prepare the 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 the prompts the LLM uses to propose 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 cases the LLM does not handle reliably, such as identifiers that change format between systems or data that conflicts with a constraint, while keeping the constraint in place.
  • Build parameterized queries that detect what changed on each side since the last sync, including sources that are not databases, such as spreadsheets and document folders.
  • Work with the Senior Python Developer on safeguards for LLM-generated SQL, enabling controlled and approved writes to source systems.
  • Automatically classify records that fail to sync by root cause, including conflicts where the same data changed on both sides, and turn each treatment into an approved rule.
  • Automate repetitive migration preparation tasks, such as loading inputs, generating artifacts, and comparing artifact versions.
  • Version every approved artifact together with the inputs that produced it, and document the preparation procedure so other teams can reuse it.

Qualifications

  • 3+ years of experience with Python, plus advanced SQL on PostgreSQL, MySQL, and BigQuery
  • Production LLM applications experience, including hosted LLM API integration, structured output, and validation
  • Prompt engineering and versioning, fallback strategies, cost and latency optimization, and LLM evaluation methodologies

Additional Information

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.

Skills Required

  • 3+ years of software development experience with Python and software engineering best practices
  • Advanced SQL experience with PostgreSQL, MySQL, and BigQuery
  • At least 1 year of experience building production LLM applications beyond prototypes
  • Experience integrating hosted LLM APIs into production, including structured output and validation
  • Experience with prompt engineering, prompt versioning, fallback strategies, and cost and latency optimization
  • Experience evaluating LLM output using test cases and clear evaluation methodologies
  • Ability to understand and modify partially documented codebases
  • Demonstrated use of AI tools with verification of their outputs
  • Strong autonomy, attention to detail, and comfort with evolving requirements
  • Advanced English fluency
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience
  • Experience with 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
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The Company
HQ: San Salvador
471 Employees
Year Founded: 2013

What We Do

We are a Nearshore digital solutions company powered by our LATAM based tech talent. Our specialties include Digital Transformation, Web and Mobile Development, Cloud Computing, AI, and Machine Learning, among others. We are committed to delivering high-quality software solutions that not only are scalable and dependable but also future proof. We accelerate our customers digital roadmap by leveraging our 10 years of experience building custom digital solutions, augmenting our clients' teams, and reducing time-to-market. Our Vision: Code that changes lives; has made us believe that the power of innovation can change the world. Contact us to see how we can help you achieve your business goals. www.applaudo.com We are hiring! We are looking for diverse and talented professionals around the world, who share our commitment to making a positive impact on those surrounding us. Working hand in hand to develop our skills, we will continue daring each other to reach new horizons and overcoming barriers. Visit our Jobs tab to see the multiple open positions waiting for you. Apply now and discover why Applaudo is the Best Place to Code.

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