DevOps/GenAI Scientist

Hybrid in Atlanta, GA, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

Occasional Travel Required

Remote

Up to $70/hr

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

API
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Data Science
DevOps
LangChain
Terraform
kubernetes

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10294321
Position Id: 8914285
Posted 6 hours ago

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