DevOps/GenAI Scientist

DevOps / GenAI Scientist

We are seeking a DevOps 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.

Responsibilities

• 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.

Required Skills

• 4 5 years of DevOps experience

• 2+ years building production LLM solutions

• 1+ year deploying GenAI applications to EKS

• Python development

• Experience with LangChain, Pandas, and Scikit-learn

• Pipeline architecture and Terraform scripting for EKS

• GitHub 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

Preferred Skills

• PhD

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

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