Conversational AI Engineer: Multi-Agent Code (Remote)

Socket.dev

Austin (TX)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
Tax-advantaged health care accounts
Paid time off

Job summary

TTEC Digital is seeking a Conversational AI Engineer to design and deploy next-generation agentic workflows. You will build modular multi-agent systems and implement custom Python/TypeScript tool callbacks within CX Agent Studio, bridging discovery and front-line operations.

You will also ensure code-first workflows are linted, tested, and synchronized, blending low-code canvas with deterministic logic to prevent hallucinations in production.

Qualifications

  • Bachelor’s degree or equivalent practical experience in CS/engineering.
  • 3+ years building conversational AI solutions or programmatic AI workflows.
  • Strong proficiency in Python or TypeScript/Node.js with RESTful APIs and cloud webhooks.

Responsibilities

  • Develop multi-agent architectures with Root/Steering and Sub-agents.
  • Write custom code tools and callbacks in Python/TypeScript.
  • Leverage CX Agent Studio CLI tools for linting and validation (cxas lint, llm-lint).
  • Design structured agent instructions and routing syntax for sub-ag agents.
  • Integrate Code Agents with live databases, CRM, and CCaaS via APIs.
  • Create automated QA and simulation tests to prevent hallucinations.

Skills

Python
TypeScript/Node.js
RESTful APIs
Git workflows
CX Agent Studio
cxas-scrapi
JSON payloads
Cloud webhooks
BigQuery / Google Cloud Logging

Education

Bachelor’s degree in computer science, engineering field, or equivalent practical experience

Tools

cxas-scrapi workspace/SDK
Python-based agent foundries

Job description

TTEC Digital is seeking a Conversational AI Engineer to design and deploy next-generation agentic workflows. You will build modular multi-agent systems and implement custom Python/TypeScript tool callbacks within CX Agent Studio, bridging discovery and front-line operations.

You will also ensure code-first workflows are linted, tested, and synchronized, blending low-code canvas with deterministic logic to prevent hallucinations in production.

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