AI Engineer

Job Description

We are looking for a skilled AI Engineer to work on cutting‑edge generative AI solutions. This role requires solid experience with LLaMA, Stable Diffusion, Lang Chain, traditional ML techniques (regression, classification, clustering, NLP, CV), Python and frameworks such as Tensor Flow, PyTorch, and Scikit‑learn. Experience with Azure or AWS cloud services, building APIs, and MLOps (CI/CD, monitoring, versioning) is essential.

• Strong experience with Generative AI (e.g., LLaMA, Stable Diffusion, Lang Chain)
• Solid understanding of traditional AI/ML techniques (Regression, Classification, Clustering, NLP, CV)
• Proficiency in Python and ML frameworks like Tensor Flow, PyTorch, and Scikit‑learn
• Hands‑on experience with Azure/AWS cloud services (Azure AI Foundry, AI Hub, Open AI Search, Cosmos DB, Azure Functions, Azure ML OR AWS Bedrock, Bedrock Agent, Lambda, EC2, ECS, Sage Maker etc.)
• Experience in developing APIs and integrating NLP or LLM models into software applications
• Experience with MLOps tools and practices (CI/CD, model monitoring, versioning)

• Design, develop, and deploy AI/ML solutions and models using both traditional and generative approaches
• Build and fine‑tune LLMs and GenAI applications (understanding context, synthesizing data, insights, relationships, recommendations, etc.)
• Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs
• Implement and optimize ML pipelines using Azure/AWS services (Azure Functions, Azure ML, ADLS OR Lambda, EC2, S3, Sage Maker, etc.)
• Collaborate with data scientists, ML engineers, and product teams to translate business needs into AI solutions
• Ensure scalability, reliability, and security of AI systems in production environments
• Monitor model performance and retrain/update models as needed

$100,000 – $125,000 per annum

• Discretionary annual incentive
• Comprehensive medical coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family support:
  Maternal & Parental leaves
• Insurance options:
  Auto & Home insurance, Identity theft protection
• Convenience & professional growth:
  Commuter benefits, certification & training reimbursement
• Time off:
  Vacation, sick leave & holidays
• Legal & financial assistance:
  Legal assistance, 401(k) plan, performance bonus, college fund, student‑loan refinancing

Seniority level:
Entry level

Employment type:

Full‑time

Job function:
Engineering and Information Technology (IT Services and IT Consulting)

Lexington, KY