Senior Software Engineer

About the job
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About Cvent: Cvent is a leading meetings, events, and hospitality technology provider with more than 5,500+ employees and ~30,000 customers worldwide.

We’re seeking a Senior Software Engineer– AI to join our AI team and lead the development of high-impact AI-driven features across our platform. In this role, you will lead complex initiatives involving 2–3 engineers, drive architectural decisions within your project scope, and deliver scalable, production-grade AI systems that power Goldcast’s content intelligence capabilities.

You’ll work on core AI initiatives such as: Automated clip and highlight generation, Video understanding (transcripts, facial signals, screenshare intelligence), AI-powered search and editing workflows, Clip curator and homepage intelligence, Blog/text generation from video, AI output quality and evaluation systems.

In This Role, You Will:
Lead and deliver complex AI projects with ambiguous requirements, acting as the feature lead.
Architect scalable, reliable AI systems that balance performance, cost, latency, and maintainability.
Design and implement LLM-powered workflows, embeddings pipelines, and retrieval systems.
Build production-grade backend services that power AI-driven customer experiences.
Collaborate closely with Product, Design, QA, and SRE to deliver high-quality features.
Improve observability, reliability, and output quality of AI systems in production.
Provide strong code and design reviews, maintaining a high engineering quality bar.
Mentor junior and mid-level engineers within the AI pod

Here's What You Need:
5+ years of experience building and shipping production software systems.
2+ years of experience building or operating AI/ML systems in production.
Strong system design fundamentals and backend architecture experience.
Hands-on experience with LLMs, GenAI systems, or multimodal AI pipelines.
Experience with embeddings, vector databases, and RAG-based systems.
Proficiency in backend technologies such as Python, Java, or Go.
Experience with cloud infrastructure (AWS preferred).
Strong debugging skills and experience operating production systems at scale.
Proven ability to lead projects involving multiple engineers.
Bachelor’s or Master’s degree in Computer Science or related field from a top-tier institution (IITs, NITs, BITs, or equivalent).

Preferred Qualifications:
Experience with video processing or media intelligence systems.
Experience designing evaluation frameworks for AI output quality.
Familiarity with model performance optimization, latency tuning, and cost management.
Experience building AI-driven products in a startup environment.