Smarthis

AI Developer, LLMs & Agents

Smarthis

full-time

Posted on:

Location Type: Remote

Location: Brazil

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AWSAzureCloudDockerETLGoogle Cloud PlatformPython

About the role

  • Develop AI and generative AI applications with LLMs using Python.
  • Design and implement autonomous agent architectures and AI workflows (LangGraph, CrewAI, or similar).
  • Build data pipelines and RAG (Retrieval-Augmented Generation) solutions for data ingestion, transformation, and intelligent use of data.
  • Integrate language models and AI services into enterprise applications via APIs and microservices.
  • Deploy, monitor, and evolve AI solutions in cloud environments, ensuring scalability and performance.
  • Work with product and engineering teams to turn business challenges into AI-based solutions.

Requirements

  • Strong experience with Python and software development.
  • Experience with LLM orchestration frameworks (LangGraph, CrewAI, LangChain, or similar).
  • Experience integrating AI model APIs (OpenAI, Gemini, or open-source models).
  • Knowledge of data engineering and building ETL/ELT pipelines.
  • Experience with microservices architectures, Docker, and distributed environments.
  • Experience with cloud platforms (GCP, AWS, or Azure) for deploying and operating applications.
Benefits
  • Profit-sharing
  • Health and dental insurance
  • Flexible benefits card
  • TotalPass
  • Access to Zenklub
  • Language program
  • Partnership with FIAP
  • Hybrid work
  • Internal training and a structured career development plan
  • Flexible working hours
  • Mentorship program
  • Extended parental leave
  • Childcare assistance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonLLM orchestration frameworksLangGraphCrewAILangChaindata engineeringETLELTmicroservices architecturesDocker