Skip to content

Search jobs inside your AI agent. ClaudeChatGPTCursorGrok Bot

Connect

Dextr AI

Forward Deployed Engineer

Posted Updated
Discussion

Description

Responsibilities:

  • Deploy the Dextr platform for new customers: configure AI agents, call flows, knowledge bases, and SOPs to match each property's operations.
  • Build smaller tools, scripts, and custom configurations on top of Dextr OS data loaders, integration glue, dashboards, automations whatever a deployment needs to go live.
  • Wire up integrations with customer systems (PMS, POS, telephony, guest messaging, CRMs) using APIs, webhooks, and low-code tooling.
  • Write and refine prompts for customer-facing AI agents, and test agent conversations end-to-end before go-live.
  • Debug deployment issues across the stack from a misbehaving prompt to a failing API call and fix them fast.
  • Turn repeated deployment work into reusable tooling and templates, so every customer after this one goes live faster.
  • Collaborate daily with the US-based delivery team and feed deployment learnings back to the core platform engineering team in Bangalore.


Requirements:

  • 1-3 years of software engineering experience (internships at product companies count toward this).
  • Solid programming fundamentals in Python or JavaScript/TypeScript; comfortable working with REST APIs, JSON, and webhooks.
  • Hands-on curiosity about LLMs and AI agents; you've built something with an LLM API, even if it was a side project.
  • A builder's bias: given a customer problem, you'd rather ship a small working tool today than design a big system for next month.
  • Strong debugging instincts and the persistence to chase an issue across systems you didn't write.
  • Clear written and spoken communication; you'll document what you build and occasionally interact directly with customer teams.

Skills

Apply

See also

Solutions Engineering jobs by country — openings, pay and top skills →