Senior AI Agent Engineer — Production & Client-Facing

Vi; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Vi is seeking a senior engineer to take its AI agent capabilities into production. You will own end-to-end delivery of intelligent AI agents for Wellness clients, from data ingestion and CRM integration to real-time orchestration and guardrails.

You’ll translate client workflows into robust agent designs, run technical sessions with client teams, and build scalable production systems including databases, APIs, and ML components.

Qualifications

• 5+ years shipping customer-facing software in production.
• Proficient in Javascript/Node, Typescript, and Python.
• Experience with real-time systems and CRM integrations.
• Strong cloud and CI/CD experience.
• Excellent client-facing communication and startup mindset.

Responsibilities

• Build and deploy AI agents for Wellness clients end-to-end.
• Translate client workflows into agent workflow designs and sessions.
• Integrate with client CRMs and build ingestion pipelines.
• Write production stack: agent runtime, routing, orchestration, and ML components.
• Design and maintain databases to support real-time operations and auditing.
• Codify per-client configurations into reusable components.
• Collaborate with product, account management, and platform engineering.

Skills

5+ years production engineering

Javascript/Node

Typescript

Python

Real-time systems

CRM integrations

Data engineering patterns

Cloud infrastructure (AWS/GCP)

CI/CD

Client-facing communication

Startup mindset

Tools

WebSockets

Streaming architectures

CI/CD tooling

Vector stores

Relational & caching databases

Job description

Vi is seeking a senior engineer to take its AI agent capabilities into production. You will own end-to-end delivery of intelligent AI agents for Wellness clients, from data ingestion and CRM integration to real-time orchestration and guardrails.

You’ll translate client workflows into robust agent designs, run technical sessions with client teams, and build scalable production systems including databases, APIs, and ML components.