Lead AI Engineer

Worldwide | Oct. 20, 2026

Report as Closed

Company: Improving

Country: Worldwide

Type: Remote

Employment: Full-time

Description: Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes.

At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training. 
The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.
  • 7+ years of experience in Software Engineering / Data Engineering.
  • 3+ years working with AI/ML solutions or LLMs, ideally with structured information extraction.
  • Advanced English. – (Required)
  • Solid, hands-on experience with Databricks, including the development of data solutions and AI.
  • Advanced command of Python and SQL.
  • Experience designing and implementing AI solutions based on LLMs for information extraction.
  • Experience with Databricks AI Functions and Unity Catalog.
  • Solid knowledge of data modeling and architecture solutions.
  • Experience technically leading engineering teams, with the ability to make decisions and perform code reviews.
At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training.
The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.
Role Responsibilities

At Improving South America we are looking for Lead AI Engineer to technically and operationally lead a pod of engineers, defining the architecture, the data model and the information extraction strategy through LLMs.

The role combines hands-on development with technical leadership, ensuring the accuracy, traceability, quality and reliability of the solution, in direct collaboration with stakeholders.

What you will do:

  • Lead the team's technical execution and make implementation and architectural decisions.
  • Design canonical data models aligned with existing domain structures.
  • Define and implement information extraction strategies through LLMs, including prompts, output schemas and validation mechanisms.
  • Develop and review Python code, SQL queries, prompts and pull requests, ensuring quality standards.
  • Integrate the solution with external services through defined integration contracts.
  • Establish metrics, precision thresholds and extraction evaluation processes.
  • Design and maintain data structures with effective-dated and bitemporal temporality when
  • Collaborate with technical and business stakeholders to align implementation decisions with project objectives.
Benefits we offer
  • Long-term contract.
  • 100% Remote.
  • Vacation and PTOs
  • Possibility of receiving 2 bonuses per year.
  • 2 salary reviews per year.
  • English classes.
  • Apple equipment.
  • Online course platform
  • Budget for purchase of books.
  • Budget for purchasing work materials
  • much more..
Relevant plus
  • Experience in healthcare or insurance, especially in healthcare reimbursement processes (healthcare reimbursement) or contract analysis.
  • Experience in effective-dated data modeling (effective-dated) and bi-temporal structures.
  • Experience with Databricks Jobs and Asset Bundles.
  • Experience designing outputs structured LLMs and systematically evaluating their accuracy, consistency and traceability.

Apply here:

Web: Apply here

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