AI Software Engineer - Remote

AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

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.

Based in San Francisco, California.

Responsibilities

• 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.

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