About the Role

As a Machine Learning Engineer, you will join the AI Models team at Weni by VTEX, a business unit of VTEX. You will play a key role in building intelligent agents and multi-agent systems using state-of-the-art AI technologies. This is an opportunity to work in a collaborative and innovative environment, driving the future of generative AI by developing scalable, high-performance solutions.

What you will do

• Lead the end-to-end lifecycle of adapting LLMs for specific contexts, including research, design, experimentation, development, deployment, monitoring, and maintenance.
• Develop and maintain Python scripts using frameworks such as WeniCorals and AWS Bedrock.
• Configure models, memory, guardrails, Lambda functions, and prompts to efficiently orchestrate multi-agent systems.
• Ensure successful integration of WeniCorals with AWS Bedrock and other frameworks through continuous updates and maintenance.
• Conduct stress tests on individual agents as well as collaborative multi-agent systems.
• Participate in technical meetings with the AI Models team and cross-functional teams to design and implement solutions.

 

Who you are

• Strong foundation in LLMs and proven experience with fine-tuning models.
• Advanced knowledge in Natural Language Processing (NLP).
• Proficiency in Python.
• Hands-on experience with agents and multi-agent frameworks such as LangChain, LlamaIndex, Crewai, Swarm, PydanticAI, or Bedrock Agents.
• Solid background in Prompt Engineering.
• Experience with Git and GitHub for version control.
• Advanced or fluent English.
• Strong logical reasoning skills to design structured solutions for abstract problems.
• Curiosity and eagerness to explore emerging trends and technologies in AI.
• Results-driven mindset, committed to delivering high-impact and high-quality solutions.
• Background in Data Science. (A plus)
• Experience with multi-agent frameworks in production projects. (A plus)
• Advanced expertise in Prompt Engineering. (A plus)
• Strong foundation in Software Engineering. (A plus)

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About VTEX

VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024).

Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com.

At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.

 

About Weni by VTEX

Weni by VTEX is a business unit of VTEX dedicated to enterprise customer experience solutions powered by artificial intelligence, designed for brands and retailers.

With the Weni Platform, we redefine sales and post-sales journeys through hyperautomation and the smart integration of data into conversational channels, delivering faster, more personalized, and more efficient experiences for consumers.

 

Benefits

• Health, dental, and life insurance with national coverage provided by VTEX;
• Language development incentive program (English, Spanish, Portuguese);
• Flexible meal allowance;
• Extended parental leaves;
• Flexible work schedule and remote-first culture;
• Financial assistance to build your work-from-home setup;
• Wellness program;