Senior AI Engineer

Tech Stack

Responsibilities

• Lead enterprise AI architecture decisions, reference patterns, and platform strategies across multiple business domains.
• Design, develop, and deploy LLM-based, RAG, agentic AI, and generative AI solutions using modern ML/LLM frameworks and cloud AI services.
• Implement MLOps and LLMOps best practices for scalable, observable, and secure deployments including containerization, orchestration, CI/CD, and model lifecycle management.
• Partner with Data Scientists and engineering teams to productionize AI and ML solutions into scalable enterprise systems.
• Ensure responsible AI governance including RBAC/IAM, secrets management, PII minimization/redaction, audit logging, explainability, and compliance with governance and privacy standards.

Soft Skills

Benefits

• 401k
• Dental
• Flexible Spending Account
• Health Savings Account
• Medical
• Paid Holidays
• Paid Sick Time
• Paid Vacation
• Vision

Culture

Requirements