Senior AI/ML Engineer Position Available In Mecklenburg, North Carolina

Senior AI/ML Engineer

Job Title:

Senior AI/ML Engineer

Location:

Charlotte, North Carolina (On-site 4 days, 1 day remote)

Structure:

6 12-month Contract-to-Hire (W2 Only. We cannot work 1099 or C2C)

Work Authorization:

We are unable to offer sponsorship

Summary:

Join the growing Service, Experience, and technology team in Charlotte, North Carolina. This role is primarily on-site, offering the opportunity to work hands-on with cutting-edge AI/ML technologies in a collaborative and impactful environment.
We re looking for a Senior AI Engineer who can:
Lead AI/ML projects independently and collaborate across teams
Mentor junior engineers and contribute to team growth
Design and deploy scalable ML pipelines and LLM-based system

Responsibilities:

Lead end-to-end delivery of AI/ML and LLM-based solutions from prototype to production
Design, deploy, and maintain LLM-based systems in production environments
Architect and implement Retrieval-Augmented Generation (RAG) pipelines and vector-based search solutions
Perform LLM prompt engineering, fine-tuning, and evaluation to improve model performance and relevance
Monitor and evaluate LLM system performance and safety using tools like LangSmith or similar
Build, deploy, and scale APIs and ML services using CI/CD pipelines
Work within containerized and cloud environments (Kubernetes, AWS/Google Cloud Platform/Azure) for deployment and orchestration
Collaborate cross-functionally to integrate machine learning capabilities into broader business systems
Guide and mentor junior engineers in best practices across the AI/ML lifecycle

Requirements:

Advanced proficiency in Python, Machine Learning, NLP, and text data analysis
Demonstrated experience with:
Building and deploying LLM-based systems to production
LLM prompt engineering, fine-tuning, and evaluation techniques
Designing and implementing RAG architectures
Vector databases, embedding models, and semantic search
Monitoring and evaluation tools for LLMs (e.g., LangSmith)
Strong understanding of MLOps practices including:
CI/CD pipelines for ML workflows
Model versioning and model registry management
Automated deployment and monitoring tools
Familiarity with LLM deployment libraries such as Lite

LLM, LLM

Guardrails, or similar
Experience with or willingness to learn Kubernetes and cloud platforms (AWS, Google Cloud Platform, Azure)

Eligibility:

Applicants must be authorized to work in the U.S. on a permanent basis.
Visa sponsorship is not available
Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
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Dice Id:

10110651

Position Id:

8654925