Gen Ai Engineer

Insight Global; United States; Hybrid; USD 106,722 - 116,420; Part time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading tech consulting company is seeking an Artificial Intelligence/ Machine Learning Engineer in Charlotte, NC. The role involves operationalizing AI applications with a focus on guardrails and observability. Candidates should have a strong background in data science and AI engineering, as well as expertise in LangChain and OpenAI API. This contract position offers a competitive pay range and benefits including medical insurance and a 401(k).

Qualifications

• Strong experience in data science and AI engineering.
• Proficient in LangChain and OpenAI API functionalities.
• Advanced skills in Python and related data science libraries.

Responsibilities

• Operationalize guardrails/observability for AI applications in production.
• Track quality and safety metrics for LLM/RAG systems.
• Build annotation and feedback loops for model calibration.
• Deploy and scale containerized AI services.

Skills

Data Science & AI Engineering background

Strong, practical LangChain experience

OpenAI API expertise

Awareness of TensorRT and vLLM implementation

Advanced Python + data science libraries

Proven guardrails & observability work

Experience with LLMs as Judges / SMLs

OpenShift or Kubernetes experience

Job description

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This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$77.47/hr - $84.51/hr

Location: Charlotte, NC (3 days a week onsite)

Pay Rate: 77.47/hr (mid-level), 84.51/hr (sr. level)

Job description

We’re scaling enterprise GenAI applications and need engineers who can operationalize, monitor, and improve LLM/RAG systems with strong guardrails and observability. You’ll work across annotation/fine‑tuning pipelines, evaluation with LLMs-as-Judges/SMLs, and orchestration with LangChain to keep models accurate, safe, and reliable in production.

What you’ll do

• Operationalize guardrails/observability for vendor-based LLM & RAG apps in production.
• Track quality and safety metrics (e.g., attribution/grounding, prompt-injection detection, tone, bias, PII).
• Build annotation + feedback loops; calibrate judge models via fine‑tuning/alignment.
• Orchestrate checks, prompt versioning, and scoring workflows with LangChain.
• Deploy and scale containerized AI services (OpenShift/Kubernetes) and create reliability dashboards (e.g., Grafana).

Must‑haves

• Data Science & AI Engineering background.
• Strong, practical LangChain experience.
• OpenAI API (chat completions, embeddings) expertise.
• Awareness of TensorRT and vLLM implementation.
• Advanced Python + data science libraries (NumPy, Pandas, scikit‑learn, PyTorch/TensorFlow).
• Proven guardrails & observability work on LLM/RAG apps.
• Experience with LLMs as Judges / SMLs for evaluation (attribution, adherence, bias, PII, etc.).
• OpenShift (or Kubernetes) for containerized AI workloads.

Seniority level

Associate

Employment type

Contract

Benefits

• Medical insurance
• Vision insurance
• 401(k)

Job function

Artificial Intelligence/ Machine Learning Engineer

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