AI Engineer - LATAM

Within; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading tech firm in São Paulo is seeking an AI Engineer to drive innovation at the intersection of large language models and data analytics. The role involves LLM evaluation, semantic layer development, and software integrations. Candidates should have strong Python skills, LLM understanding, and experience with data analysis techniques. This position offers a competitive salary, unlimited vacation, and remote work opportunities.

Serviços

Base salary DOE

Unlimited vacation policy

Monthly phone/internet stipend

Health insurance coverage

Professional Development Program

Remote work

Qualificações

• Strong proficiency in Python with significant experience in software development practices.
• Demonstrated understanding of large language model principles, architectures, and evaluation techniques.
• Experience in data manipulation, cleaning, and analysis using relevant libraries and frameworks.

Responsabilidades

• Design, implement, and analyze evaluation metrics and pipelines for LLMs.
• Integrate and leverage Cube Core for analytics semantic layer development.
• Engineer robust software solutions for LLM integration into production systems.

Conhecimentos

Python proficiency

LLM evaluation techniques

Data analysis skills

Experience with semantic layers

Ferramentas

Cube Core

AWS

GCP

Azure

Descrição da oferta de emprego

About the Role: We are seeking a highly skilled and motivated AI Engineer to join our team. This role is essential for driving our innovation at the intersection of large language models (LLMs) and advanced data analytics. The ideal candidate will possess a strong foundation in software engineering, a keen understanding of LLM evaluation methodologies, and experience with modern data analytics architectures, particularly semantic layers.

Responsibilities

• LLM Evaluation and Performance: Design, implement, and analyze rigorous evaluation metrics and pipelines for large language models, ensuring optimal performance and reliability for various use cases.
• Semantic Layer Development: Work closely with data science and engineering teams to integrate and leverage Cube Core for the development and maintenance of our analytics semantic layer.
• Model Integration and Deployment: Engineer robust and scalable software solutions for integrating LLMs into our production systems.
• Analytical Tooling: Develop and maintain tools for capturing, processing, and analyzing data generated by LLM interactions and general system usage.
• Collaboration: Partner with product managers and other engineers to translate business requirements into technical specifications and deliver high-quality, impactful features.

Requirements

• Software Engineering: Strong proficiency in Python with significant experience in software development practices.
• LLM Understanding: Demonstrated understanding of large language model principles, architectures, and evaluation techniques (LLM Evals).
• Analytics Semantic Layers: Experience working with or developing semantic layers for analytics, with familiarity in tools like Cube Core being a significant advantage.
• Data Analysis: Experience in data manipulation, cleaning, and analysis using relevant libraries and frameworks.

Preferred Requirements

• LLM Experience: Prior hands‑on experience in fine‑tuning, training, or productionizing Large Language Models.
• Advanced Analytics: Experience with complex analytical projects, including advanced statistical methods or machine learning models.
• Cloud Platforms: Familiarity with major cloud computing platforms (e.g., AWS, GCP, Azure).
• Semantic Layers: Cube Core, dbt, LookML

Interview Process

Excel knowledge and Typing Test.

Benefits

• Base salary DOE
• Unlimited vacation policy
• Monthly phone/internet and food stipend
• Health insurance coverage
• Professional Development Program
• Remote work (Must be based in Latin America)

About WITHIN & Brkfst.io

WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we’re able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.

Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It’s a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.

Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we’re looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we’re looking for people who love innovation and want to be challenged. We’re a small team of scrappy individuals who are growing fast, and we’re looking for someone to grow with us.

We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it’s in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed.

Equal Employment Opportunity

As set forth in WITHIN’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.