A leading IT services firm is seeking a Mid-Senior level candidate to design and operationalize GenAI capabilities, focusing on LLMs and RAG solutions in Charlotte, NC. Candidates should have 10+ years of experience, a relevant degree, and proficiency in tools like LangChain and OpenShift. The role offers a salary range of $100,000-$125,000, along with comprehensive employee benefits including medical coverage, paid time off, and financial assistance programs.
Qualifications
10+ years of experience designing and developing AI solution architecture to scale.
Proven hands-on experience in GenAI Ops – operationalizing LLM and RAG applications in production.
Experience measuring and optimizing inference latency.
Responsibilities
Implement Guardrails and observability across RAG and LLM applications.
Setup GenAI Ops workflows to continuously monitor key metrics.
Build observability dashboards and alerts for AI reliability.
Skills
LangChain
Python
Data Science Libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
OpenShift/Kubernetes
AI Solution Architecture
Guardrails and Observability
GenAI Ops
Education
Bachelor’s or Master’s degree in Data Science, Computer Science, MIS, or related field
Tools
OpenAI API
Job description
A leading IT services firm is seeking a Mid-Senior level candidate to design and operationalize GenAI capabilities, focusing on LLMs and RAG solutions in Charlotte, NC. Candidates should have 10+ years of experience, a relevant degree, and proficiency in tools like LangChain and OpenShift. The role offers a salary range of $100,000-$125,000, along with comprehensive employee benefits including medical coverage, paid time off, and financial assistance programs.