Technical Support Engineer

GigaML is a YC-backed startup providing a platform for enterprises to securely fine-tune and deploy open-source Large Language Models (LLMs) on-premise.

GigaML

Employee count: 11-50

Salary: 2000k-3000k INR

India only

Experience: 2-3 years
Compensation: 20 - 30L INR

About Us
At GigaML, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises.

Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy, and scalability. We’ve deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors.

We recently raised our Series A and are scaling rapidly across industries with long-term enterprise partnerships already in place.

Why Join Us?

Momentum: Be part of a team that’s achieved validation from both customers and investors
Impact: Help us deliver reliable 24x7 support across time zones
Growth: Gain deep exposure to production infrastructure and learn how high-velocity teams operate

About the Role
We’re hiring a Technical Support Engineer to handle real-time customer issues, triage production alerts, and maintain our support systems. This is a high-responsibility role where your attention to detail, responsiveness, and communication will help us deliver industry-leading support across global customers.

What You’ll Do:

Monitor incoming support tickets and production alerts
Diagnose and triage customer issues, escalating to on-call engineers when needed
Investigate root causes and help improve resolution documentation
Own incident communication and keep customers informed with clear, timely updates
Continuously improve monitoring, response workflows, and internal runbooks
Partner with engineering and ops to improve system resilience and alerting quality

Who You Are / Must-Haves:

2–3 years of experience in technical support, systems operations, or site reliability
Bachelor’s degree in Computer Science or related technical field
Strong problem-solving and communication skills
Familiarity with AWS or other cloud infrastructure platforms
Comfortable with logs, monitoring dashboards, and basic API tools
Highly dependable and able to manage and own real-time incidents independently

Interview Process

Screening call w/ recruiting lead (20 min)
Intro call w/ CEO (15 min)
Technical interview on real-world troubleshooting and support workflows (45 min)
Final Interview w/ Engineering Leadership (60 min)

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About the job

Apply before

Oct 02, 2025

Posted on

Aug 03, 2025

Job type

Full Time

Experience level

Entry-level

Mid-level

Salary

Salary: 2000k-3000k INR

Location requirements

India

Hiring timezones

India +/- 0 hours

Job categories

Technical Support Engineer Support Engineer Technical Support Technician Customer Support Engineer Technical Support Representative Technical Support Specialist

Skills

Technical Support Customer Support Production Alerts Monitoring Troubleshooting Incident Management AWS Cloud Infrastructure Logging

About GigaML

Learn more about GigaML and their company culture.

View company profile

At the heart of GigaML is a culture driven by a profound belief in the transformative power of open-source artificial intelligence for the enterprise world. Founded by Varun Vummadi and Esha Manideep Dinne, the company was born from a vision to dismantle the barriers preventing businesses from harnessing the full potential of Large Language Models (LLMs). The team operates with a sense of urgency and an unwavering commitment to excellence, believing their output should be the ultimate metric for their success. This philosophy stems from the founders' deep technical expertise and passion for solving complex problems, creating an environment where innovation thrives and boundaries are constantly pushed. GigaML's core mission is to empower enterprises to deploy custom, secure, and high-performing LLMs on their own terms, moving beyond the limitations and privacy concerns of third-party APIs.

The company's culture is one of intensity, collaboration, and a relentless pursuit of quality. GigaML champions the idea that for enterprises, especially in sensitive sectors like healthcare, legal, and finance, data privacy is non-negotiable. By enabling on-premise deployment, GigaML ensures that a company's most sensitive data remains within its control, fostering trust and ensuring compliance. This commitment to security is matched by a dedication to performance and cost-efficiency. The team has conducted hundreds of experiments to perfect their fine-tuning and deployment processes, resulting in solutions that are not only more secure but also significantly faster and more affordable than mainstream alternatives like GPT-4. By abstracting away the complexities of model optimization, GigaML makes it simple for any enterprise to build and deploy powerful AI solutions, positioning itself as a crucial partner for businesses navigating the dynamic landscape of generative AI.