Client-Facing AI Engineer for Production Agents

Perform Digital

United States

Remote

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Perform Digital Pvt Ltd. in the United States seeks a developer who works directly with clients to build and operate agents in production and to communicate through scoping, training, support, and incident bridges.

The role requires 3+ years of full-stack development (Python or TypeScript) with at least 1 year using LLM APIs in production, plus exceptional English communication. You will own accounts end to end and collaborate with client teams on specs and go-live support.

Qualifications

  • 3+ years of full-stack development (Python or TypeScript)
  • At least 1 year using LLM APIs in production
  • Excellent written and spoken English
  • Familiar with agentic patterns: tool-use orchestration, RAG, multi-step planning, reflection loops
  • Comfortable owning an account end to end and talking to humans about software

Responsibilities

  • Build and deploy custom agents for assigned client accounts (2–4 accounts)
  • Run discovery and scoping calls with client engineers, product managers, and ops leads; translate into a buildable spec
  • Provide deskside support during go-live windows; be available on client Slack/Teams channels
  • Own incident response for your accounts; triage, communicate, fix, and write the postmortem
  • Train client teams on operating, tuning prompts, managing guardrails, dashboards, and extending agents

Skills

Full-stack dev
LLM APIs in prod
English communication
Account ownership
Empathy & patience

Tools

Slack
Teams

Job description

Perform Digital Pvt Ltd. in the United States seeks a developer who works directly with clients to build and operate agents in production and to communicate through scoping, training, support, and incident bridges.

The role requires 3+ years of full-stack development (Python or TypeScript) with at least 1 year using LLM APIs in production, plus exceptional English communication. You will own accounts end to end and collaborate with client teams on specs and go-live support.

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