Technical Support Engineer
Company Overview: 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 Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, 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..
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.
Role Overview: A Technical Support Engineer is a problem-solving expert dedicated to maintaining and improving the functionality of our products. The ideal candidate will not only have technical prowess but also possess a customer-centric mindset to provide quick and effective solutions, maintaining a high level of customer satisfaction. This role requires to work from 6:30 PM to 3:30 AM IST hours.
Key Responsibilities:
- Resolve customer questions or problems in system configuration/setup and product functionality, including fixes or enhancements.
- Serve as the primary support liaison between the Company and customers.
- Provide excellent technical and customer service; strong communication skills are required.
- Troubleshoot complex technical issues by performing product testing and customer issue replication.
- Contribute towards the achievement of team goals and objectives.
- Work directly with sustaining engineering and development teams to resolve complex issues.
- Share feedback with product and engineering teams regarding product supportability and customer pain points.
- Assist other Technical Support Engineers with difficult and complex issues, fostering a collaborative environment.
- Perform other job duties as directed by leadership.
Preferred Experience/Certifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
- 5+ years of experience in a technical support role, preferably in a SaaS environment.
- Strong understanding of REST APIs and experience in troubleshooting API-related issues.
- Proficiency in scripting languages (e.g., Python, JavaScript, Bash) for automating tasks and processes.
- Knowledge of security standards (authentication/authorization) & practices including OAuth, SAML, and SSO.
- Experience with ticketing systems (e.g., Zendesk, Jira, ServiceNow) and customer support tools.
- Excellent problem-solving skills and the ability to work under pressure.
- Strong communication skills to explain technical concepts to non-technical users.
- Familiarity with cloud computing platforms (e.g., AWS, Azure).
- Knowledge of Generative AI and Prompt Engineering is a plus.
Required Skills:
- Excellent interpersonal and communication skills.
- Excellent time management, decision making, and organizational skills.
- Strong technical troubleshooting skills.
- Strong knowledge of networking and scripting.
- Ability to work well with others as part of a team.
This role is crucial for ensuring that our products meet the highest standards and that our customers receive unparalleled support and satisfaction.
Top Skills
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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