Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
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.
Experience
1-3 yrs
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