Senior Data Scientist

Key Responsibilities

• 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 LangChain or LangGraph
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Key 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., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications

Pay

The annual salary for this position is between $120-130K depending on experience and other qualifications of the successful candidate.

Schedule

This role is remote.

Benefits

• Cognitive Health and Wellness Program
• Flexible Spending Account (FSA)
• Employee Assistance Program (EAP)
• Retirement Savings Plan (401(k))
• Disability Insurance
• Life Insurance
• Short-Term Disability Insurance
• Long-Term Disability Insurance
• Healthcare Reimbursement Account (HRA)
• Voluntary Benefits (such as Vision, Dental, and Life Insurance)
• Parental Leave
• Employee Stock Purchase Plan