Staff AI Transformation Engineer — Remote-First

Kantata

United States

Remote

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

competitive compensation and benefits
flexible time off
remote-first environment
professional-development support

Job summary

Kantata is hiring a Staff Engineer, AI Transformation to design, build, deploy, and maintain AI-driven tools across our post-sales ecosystem. You will architect internal web apps, AI agents, and MCP integrations spanning Customer Success, CX Operations, Professional Services, and Renewals.

You will own the full lifecycle from architecture to production deployment, ensuring scalable solutions without proportional headcount growth, while collaborating with cross-functional teams in a remote-first

Qualifications

  • 5+ years of full-stack or backend software engineering with production code.
  • Hands-on experience building generative AI apps and agent-based automation.
  • Familiarity with MCP or building API integrations between LLMs and enterprise tools.

Responsibilities

  • Architect, build, and deploy internal web apps and AI agents.
  • Develop custom skills and MCP integrations across post-sales ops.
  • Connect enterprise systems via MCP and APIs securely.
  • Redesign workflows in Customer Success and CX Operations.
  • Implement governance, privacy, rate limits and human oversight.
  • Measure adoption, capacity gains, cycle time, and cost-to-serve.
  • Lead initiatives from architecture to production deployment.

Skills

Full-stack eng
Backend eng
Python
TypeScript
React
Next.js
AI integration
MCP familiarity
API integrations
Product sense

Tools

LangChain
LlamaIndex
REST APIs
GraphQL
Webhooks
AWS
Vercel

Job description

Kantata is hiring a Staff Engineer, AI Transformation to design, build, deploy, and maintain AI-driven tools across our post-sales ecosystem. You will architect internal web apps, AI agents, and MCP integrations spanning Customer Success, CX Operations, Professional Services, and Renewals.

You will own the full lifecycle from architecture to production deployment, ensuring scalable solutions without proportional headcount growth, while collaborating with cross-functional teams in a remote-first

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