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
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Enhance and support an enterprise AI chat and document intelligence platform
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Design, build, and optimize LLM and RAG pipelines
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Develop backend APIs and reusable AI tools for scalable, multi-team adoption
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Translate business document and data needs into production AI solutions
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Support production deployments through monitoring, logging, and performance tuning
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Extract and analyze large volumes of corporate documents using NLP and AI
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Build conversational AI systems for enterprise knowledge discovery and decision support
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Integrate AI solutions with enterprise systems (OAuth, LDAP, cloud services)
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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
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4–5 years of DevOps experience
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2+ years building production LLM solutions
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1+ year deploying GenAI applications to EKS
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Python development
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Experience with LangChain, Pandas, and Scikit-learn
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Pipeline architecture and Terraform scripting for EKS
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GitHub development and maintenance
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Strong API and production AI system experience
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Knowledge of RAG architectures, embeddings, and semantic search
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Cloud-based AI deployment experience
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Master’s degree in a related field
Preferred Skills
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PhD
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Experience with MLOps, microservices, authentication systems, and AI observability
Must be authorized to work in the U.S. Sponsorship is not available.