Job Title: GEN AI Engineer
Location: Charlotte, NC (onsite)
Job Type: Full time
Job Description
Must Have Technical/Functional Skills
o Bachelors or Masters degree in Data Science, Computer Science, MIS ,related field, or equivalanet experience
o 10+ yrs of experience designing and developing AI solution architecture to scale
o Proven Hands-on experience in GenAI Ops-Operationalizing LLM and RAG applications in production
o Strong hands-on experience with the Langchain framework
o Experience specifically with the Open AI API, chat completions, embeddings,etc
o Have a solid awareness on TensorRT and VLLM implementation.
o Strong proficiency in python and data Science libraries(NumPy,Pandas,scikit-learn,PyTorch/TensorFlow)
o Proven experience applying guardrails and observability to LLM or RAG-powered applications.
o Experience with LLMs as Judges and SMLs for evaluation (attribution,adherence, bias, PII, etc)
o Hands-on experience with OpenShift(or Kubernetes) for containerized AL workloads.
o Experience measuring and optimizing inference latency.
Roles & Responsibilities
o Implement Guardrails and observability across RAG and LLM applications
o Setup GenAI Ops workflows to continuously monitor inference latency, throughput, quality and safety metrics.
o Define,track,and analyze RAG guardrail metrics using LLMs as Judges and SMLs(e.g. attribution, grounding,prompt injection,tone,PII leekage)
o Implement annotation,structured feedback loops,fine-tuning, and alignment methods to calibrate judge models
o Use langchain to orchestrate guardrail checks, manage prompt versioning and integrate judge model scoring workflows.
o Work with Openshift to deploy,scale and monitor containerized genAI services.
o Build observability dashboards and alerts(Grafana or equivalent) for AI reliability.
o Contribute to emerging evaluation and guardrails as autonomous AI workflows expand.
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