AI Software Engineer - Remote

Azumo

$120K — $150K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Data Science, or related field; Master's is a plus.
  • 3+ years of experience in 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 such as PyTorch, TensorFlow, LangChain, and vector databases (e.g., Pinecone, FAISS).
  • Proven cloud deployment experience, preferably with Azure.
  • Familiarity with DevOps/Infrastructure as Code tools (e.g., GitHub Actions, Terraform, Docker).
  • Strong communication skills for technical explanations to diverse audiences.

Responsibilities

  • Research, design, and build production-grade Generative AI and intelligent automation solutions.
  • Lead full-cycle development including data preparation, model fine-tuning, and secure cloud deployment.
  • Implement MLOps/LLMOps pipelines for automation of testing, monitoring, and rollback.
  • Apply Responsible AI practices and compliance standards during solution delivery.
  • Translate business and mission requirements into technical designs, prototyping quickly with stakeholders.
  • Contribute to Azumo's innovation roadmap by identifying research topics and advancing AI services portfolio.

Benefits

  • Paid time off (PTO)
  • U.S. Holidays
  • Training opportunities
  • Free Udemy Premium access
  • Mentored career development
  • Profit sharing
  • U.S. remuneration
Full Job Description
AI Software Engineer (Generative AI)

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you'll thrive if you enjoy the full lifecycle of Generative AI development-from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.
Responsibilities in AI Development
  • 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.
  • Contribute to Azumo's innovation roadmap by identifying research topics, publishing insights, and advancing our AI software development services portfolio.

Requirements

Basic Qualifications:
  • 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.
  • Professional English proficiency (B2/C1)

Preferred Qualifications:
  • Experience with compliance frameworks relevant to AI software development services (e.g., NIST, FedRAMP).
  • Contributions to research papers, open-source libraries, or AI communities.

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Profit Sharing
  • $US Remuneration

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