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Software Engineer, Agentic AI

3 weeks, 1 day ago
Brazil
Full-time
Junior
Software Engineer
Software Development
AWS Azure Kubernetes Machine Learning MLOps Python SQL
Apply Now
Invisible Technologies

Invisible Technologies

Invisible Technologies specializes in providing AI software solutions that streamline laboratory and enterprise workflows by transforming data and manual processes into efficient, agent-ready systems capable of executing complex tasks and collaborating...

Internet Software & Services
251-1K
Founded 2015
View All Jobs 2

Description

  • Build and maintain scalable backend systems supporting machine learning operations and data-processing pipelines.
  • Design, deploy, and optimize cloud infrastructure for production ML models.
  • Support client-facing deployments and improve workflows for machine learning solutions.
  • Investigate and solve complex technical problems independently to improve system capabilities and performance.
  • Collaborate with ML engineers, data scientists, researchers, and software engineers to integrate AI technologies.
  • Work directly with clients on use-case discovery, product development, and AI deployment.
  • Contribute to research and development of tools that improve AI capabilities and workflows.

Requirements

  • 2+ years of software engineering experience focused on ML engineering and deploying models in production.
  • Extensive full-stack development experience, particularly with backend systems supporting AI/ML workloads.
  • Professional experience working directly with clients on use-case discovery, product development, and client engagements.
  • Strong Python proficiency and deep expertise in LLMs, AI agents, and ML model development.
  • Experience designing and deploying scalable ML systems, including RAG pipelines and production-grade AI applications.
  • Extensive experience with AWS, GCP, or Azure and cloud operations for ML workloads.
  • Familiarity with Kubernetes and other container management tools.
  • Ability to write organized code and automated unit and end-to-end tests.
  • Experience with SQL and NoSQL persistence models.
  • Experience with MLOps and DevOps practices, including model versioning, monitoring, and lifecycle management.
  • Ability to work independently in unstructured environments with a proactive, investigative approach.
  • Strong communication skills for effective cross-functional collaboration.

Benefits

  • Annual salary range of R$249,000–R$409,000 BRL, adjusted by location and level.
  • Bonuses and equity included in all full-time offers.
  • Hybrid work environment with location-specific remote and in-office arrangements.
  • Reasonable accommodations available throughout the application and interview process.
  • Equal opportunity employer.

Interested in this position?

Apply directly on the company website

Apply Now

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