LLM Engineer: End-to-End AI Apps & RAG

Job Responsibilities & Qualifications

• Strong Python expertise with experience building and deploying production‑grade backend systems.
• Hands‑on experience developing applications using LLMs, including prompt engineering and orchestration.
• Proven experience with RAG architectures, embeddings, and vector databases.
• Experience with agentic frameworks (e.g., Lang Chain, Lang Graph, Auto Gen).
• Strong system design skills with experience building and scaling cloud‑based applications.
• Architect and deliver end‑to‑end LLM‑powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi‑step, tool‑using agents (planning, execution, memory) using frameworks such as Lang Chain.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Salary Range: $95,000-$165,000 a year

• 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.

Mason, OH