Customer Engineer

Posted 23 Hours Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Senior level
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
Aisera is seeking a Customer Engineer to be the primary technical point of contact for customers, develop workflows based on customer requirements, and troubleshoot technical issues.
Summary Generated by Built In

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.

Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role:

At Aisera, we’re building a world-class Customer Success team, where each individual loves to move fast, be challenged, and is obsessed with making our customers wildly successful. The Aisera customer engineer is assigned specific customer accounts and is responsible to keep their accounts in good health, while working to accomplish the customer’s goals, solve technical issues, and answer technical questions.

"This role is based out of our Bangalore office, and requires working during US hours. The work hours may change in future."

Responsibilities:

  • Be the primary technical point of contact for customers.
  • Verify that Aisera has access to the right information from customer backend systems.
  • Train the AI system to provide the best answers to questions.
  • Develop workflows/RPAs based on customers’ requirements (requires scripting knowledge) 
  • Triage any technical issues reported by customers and work with Engineering toward the resolutions.

Basic Qualifications:

  • 5 years of Customer engineering, software development, or DevOps experience.
  • Experience in customer facing roles.
  • Knowledge of scripting using bash, Java, JavaScript, python, or similar scripting/programming language.
  • Knowledge of REST APIs – how to make calls and troubleshoot errors.
  • Knowledge of security standards (authentication/authorization) & practices including oAuth, SAML and SSO.
  • Bachelor’s degree or equivalent knowledge in computer science, engineering, or related technical field.
  • Experience with setting connectors between IT systems like Zendesk, Jira, ServiceNow, etc.
  • Knowledge of AI technologies is a plus.

Why Aisera?

If you are passionate about building Enterprise level applications in AI and Automation, possess the required expertise, and have experience with enterprise level Customer engineering or startups, we encourage you to apply and be a part of our growing team.

Medical, dental, and vision benefits

Holidays and flexible PTO

Paid family leave

Stock Options 

Employment Assistance Program

Top Skills

Bash
Java
JavaScript
Python
The Company
HQ: Palo Alto, CA
265 Employees
On-site Workplace
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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