Senior AI Engineer

Job Description

Design, build, and maintain a multi-tier AI agent platform that connects LLMs to real-world enterprise systems (CRM, Salesforce, Service Now, SFMC etc.). Bridge the gap between raw LLM capabilities and production business workflows — translating business intent into reliable, scalable agent infrastructure.

• Python backend development — FastAPI + Flask, async patterns, Pydantic models. Production-grade services on Kubernetes— with proper error handling, retries, and typed contracts between layers.
• LLM orchestration — prompt engineering, session/context management, multi-agent patterns, tool use (MCP servers). Keep agents grounded, scoped, and auditable across multi-step workflows.
• React/frontend basics — enough to read, debug, and wire service calls. Trace request-response through a component without being the one who styled it.
• Cloud infrastructure — AWS S3, Secrets Manager, ECR, ECS, ALB, environment-based config, basic Dev Ops.
• Enterprise API integrations — OAuth flows, REST/SOAP.
• Systems thinking — Trace data across 3+ loosely-coupled services, anticipate failure points before they hit production, and debug cross-service issues methodically rather than by instinct.

$100,000- $150,000 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.

BACHELOR OF COMPUTER SCIENCE