Staff Software Engineer

Overview

Company name: Ema | HQ Location: San Francisco | Website | LinkedIn

Role: Staff Software Engineer

• Experience: 7-10 years
• Salary: Rs. 60-90 lakhs per annum
• Location: Bangalore (Hybrid)
• Type: Full-time

We are pioneering the concept of a Universal AI Teammate and have already secured paying clients. As we continue to explore exciting new use cases and build toward our ambitious vision, we’re seeking a Staff Software Engineer to accelerate our journey. This role is based out of Indiranagar, Bangalore, in a hybrid setup. If we like you, compensation will not be a blocker—we want the best to help us achieve our goals.

Key Responsibilities:

1. Architect and Build: Design, develop, and maintain scalable software systems that are core to our Universal AI Teammate platform.
2. Technical Leadership: Provide technical direction and mentorship to the engineering team, ensuring high-quality code and engineering excellence.
3. Collaboration: Work closely with cross-functional teams, including product managers, AI researchers, and designers, to deliver innovative solutions.
4. Performance Optimization: Continuously monitor and improve system performance, scalability, and reliability.
5. R&D: Explore and implement new technologies and methodologies to drive the evolution of our AI platform.
6. Code Reviews: Lead code reviews to ensure best practices in terms of performance, security, and maintainability.
7. Drive Innovation: Lead initiatives to explore new use cases and applications for our Universal AI Teammate.

Qualifications:

1. Extensive experience in software engineering with a track record of delivering complex, high-performance systems.
2. Strong expertise in multiple programming languages, including but not limited to Python, Java, or Node.js.
3. Experience with AI/ML-powered systems is a plus, especially in scaling machine learning models for production use.
4. Proficiency with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices.
5. Excellent problem-solving skills, with the ability to work effectively in fast-paced, dynamic environments.
6. Previous experience in leading and mentoring engineering teams is highly desirable.

About us

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and is currently in stealth mode.