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Sainapse

AI-powered enterprise customer-service automation and triage

Member of Technical Staff

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Strong software-engineering fundamentals and evidence of having shipped production systems.
  • Fluency in at least one modern backend language; Python and TypeScript are especially relevant.
  • Comfort with APIs, relational data, asynchronous systems, testing, and cloud infrastructure.
  • Practical understanding of large language model applications, including retrieval, tool use, structured outputs, evaluations, and failure modes.
  • Ability to reason from first principles and operate without a detailed task list.

Responsibilities

  • Build shared platform capabilities, including customer-context models, integration and tool frameworks, permissions, evaluations, and deployment primitives.
  • Build reliable backend and product systems across APIs, event-driven workflows, data models, and user-facing tools.
  • Integrate with customer relationship management systems, enterprise resource planning systems, helpdesks, inboxes, document pipelines, and customer-owned infrastructure.
  • Improve the accuracy, latency, observability, security, and cost of production AI systems.
  • Work with customers and Forward Deployed Engineers to turn repeated integration and workflow patterns into reusable product, and help build self-serve onboarding as the platform matures.
  • Own systems after launch, including instrumentation, failures, incident response, and iteration.
  • Use AI coding tools while maintaining engineering judgment and accountability.

Desired Qualifications

  • Experience with enterprise integrations, document processing, workflow engines, machine learning systems, security, or early-stage startups.

About the Company

Sainapse

AI-powered enterprise customer-service automation and triage

Sainapse is an enterprise AI product that improves customer service for large organizations by integrating with their existing systems to speed up issue resolution while preserving accuracy. It autonomously triages requests, conducts cognitive search across data sources, and deduplicates information to present clear guidance. It helps discover solutions, recommend next steps based on intent, and provide last-mile support to field engineers, with revenue from software licenses and subscriptions sold directly to enterprises and through reseller partners. Its goal is to make support faster and more reliable by automating end-to-end processes and reducing duplicate data, differentiating itself through end-to-end automation and data deduplication in enterprise environments.

Company size
11-50
Company stage
Seed
Total funding
$3.5M
Headquarters
Bengaluru, India
Founded
2017

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