DevOps​/GenAI Scientist

We are seeking a Dev Ops professional who has transitioned into Data Science and GenAI, with hands-on experience deploying LLM solutions into production. This role focuses on building and operating enterprise GenAI applications, including pushing LLM and RAG solutions into EKS environments.

• Enhance and support an enterprise AI chat and document intelligence platform
• Design, build, and optimize LLM and RAG pipelines
• Develop backend APIs and reusable AI tools for scalable, multi-team adoption
• Translate business document and data needs into production AI solutions
• Support production deployments through monitoring, logging, and performance tuning
• Extract and analyze large volumes of corporate documents using NLP and AI
• Build conversational AI systems for enterprise knowledge discovery and decision support
• Integrate AI solutions with enterprise systems (OAuth, LDAP, cloud services)
• Design microservices-based, production-ready AI platforms

This is a 6-month contract with strong extension potential. The role is hybrid (3 days onsite) in Midtown Atlanta with access to MARTA, paid parking, and a brand-new office. Candidates outside Atlanta may work fully remote.

• 4–5 years of Dev Ops experience
• 2+ years building production LLM solutions
• 1+ year deploying GenAI applications to EKS
• Experience with Lang Chain, Pandas, and Scikit-learn
• Pipeline architecture and Terraform scripting for EKS
• Git Hub development and maintenance
• Strong API and production AI system experience
• Knowledge of RAG architectures, embeddings, and semantic search
• Cloud-based AI deployment experience
• Master’s degree in a related field

• PhD
• Experience with MLOps, microservices, authentication systems, and AI observability

Must be authorized to work in the U.S. Sponsorship is not available.