AI Engineer

Artificial Intelligence Developer - Hybrid, PA Job Description

Strong experience with Generative AI (e.g., LLaMA, Stable Diffusion, Lang Chain). Solid understanding of Traditional AI/ML techniques (e.g., 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 etc OR AWS Bedrock, Bedrock Agent, Lambda, EC2, ECS, Sage Maker etc) or equivalent.

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 & 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 Function, 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.

• Bachelor of Computer Science.
• 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.
• Experience in developing APIs and integrating NLP or LLM models into software applications.
• Experience with MLOps tools and practices (CI/CD, model monitoring, versioning).

Base Salary Range: $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, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.