Senior AI Engineer, Mobile Voice and Salesforce Workflows

  • Niuro
  • Costa Rica, Paraguay, República Dominicana, Bolivia, Brasil, El Salvador, Chile, Colombia, Honduras, Perú, Cuba, Argentina, Uruguay, Panamá, Nicaragua, Guatemala, México, Ecuador, Venezuela
Descripción

Niuro is hiring a Senior AI Engineer for a consulting firm building AI-powered workflows for commercial field teams in life sciences and related industries. You will turn Claude-based prototypes into a reliable, repeatable mobile demo experience that captures spoken visit debriefs and updates the correct Salesforce records through MCP.

You will:

- Improve Claude-based agent workflows, tool routing, evaluation, and error handling.

- Build a polished mobile experience with React, HTML, and CSS.

- Map spoken intent to the correct visit, record, task, and owner in Salesforce.

- Verify writes, prepare reusable synthetic data, and make demos repeatable.

- Document platform limits and recommend the next iteration.

You bring:

- 5+ years of relevant software engineering experience.

- Hands-on experience with Claude, skills, artifacts, MCP tools, and AI agent evaluation.

- CRM integration experience, ideally Salesforce, including safe reads and writes.

- Strong mobile UI skills and sound judgment about voice interactions and recoverable errors.

- C1 English and clear communication with nontechnical leadership.

Nice to have: Salesforce Life Sciences Cloud, Field Service, commercial healthcare workflows, or Salesforce MCP.

Contract: full-time for an initial 2 months, with extension based on results. Remote in LATAM. Compensation: USD 4,000 to 5,000 per month.

Otras Vacantes

Estas vacantes tienen roles y ubicación similares.

Niuro
Senior AI Engineer, Mobile Voice and Salesforce Workflows

  • 1 oct
  • Tiempo Completo
  • Ingeniero de Machine Learning
  • Remoto ( 19 ubicaciones )
Niuro
Senior AI Engineer

  • 16 sept
  • Tiempo Completo
  • Ingeniero de Machine Learning
  • Remoto ( 17 ubicaciones )
Niuro
ML Engineer (Forecasting & Applied Data Science)

  • 16 sept
  • Tiempo Completo
  • Ingeniero de Machine Learning
  • Remoto ( 17 ubicaciones )