AI Software Engineer (Generative AI) - Remote

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

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.