Azumo

AI Software Engineer, Generative AI

Azumo

full-time

Posted on:

Origin:  • 🇦🇷 Argentina

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerKubernetesPythonPyTorchTensorflowTerraform

About the role

  • Research, design, and build production-grade Generative AI and intelligent automation solutions using LLMs, RAG pipelines, and vector databases.
  • Lead full-cycle development: data preparation, model fine-tuning, evaluation, optimization, containerization, and secure cloud deployment (Azure/AWS).
  • Implement MLOps/LLMOps pipelines for automated testing, monitoring, and rollback.
  • Apply Responsible AI practices and compliance standards (e.g., NIST RMF, FedRAMP) throughout solution delivery.
  • Translate business and mission requirements into technical designs; prototype and iterate quickly with stakeholders.
  • Collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments to translate research into production-ready solutions.
  • Contribute to Azumo’s innovation roadmap by identifying research topics, publishing insights, and advancing the AI software development services portfolio.

Requirements

  • Bachelor’s Degree in Computer Science, Data Science, or related field (Master’s is a plus).
  • 3+ years of experience developing and deploying ML, NLP, or Generative AI systems.
  • Expert-level skills in Python and software engineering fundamentals (data structures, testing, CI/CD, Git, containers).
  • Hands-on experience with AI development tools: PyTorch, TensorFlow, LangChain, LangGraph, and vector databases (Pinecone, FAISS, Azure AI Search).
  • Proven cloud deployment experience (Azure preferred; AWS acceptable).
  • Familiarity with DevOps/Infrastructure as Code (GitHub Actions, Terraform/Bicep, Docker/Kubernetes).
  • Strong written and verbal communication skills to explain technical concepts to diverse audiences.
  • Preferred: Experience with compliance frameworks relevant to AI software development services (e.g., NIST, FedRAMP).
  • Preferred: Contributions to research papers, open-source libraries, or AI communities.