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Goldcast (a Cvent company) is an AI-powered B2B Video Content Platform that enables marketers to put video content at the heart of the customer journey. We're building a browser-based, frame-accurate video editor that rivals desktop apps, using cutting-edge tech like WebCodecs, WASM, and Remotion.
Founded in mid-2020 at Harvard Business School, we have 400+ customers across tech, professional services, manufacturing, and finance to deliver engaging video content & digital events.
AI at Cvent: Leading the Future
Are you ready to shape the future of work at the intersection of human expertise and AI innovation At Cvent, we're committed to continuous learning and adaptation—AI isn't just a tool for us, it's part of our DNA. We're looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you'll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.
Throughout our interview process, you'll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you're excited to be part of a team that's leading the way in AI-powered collaboration, we'd love to meet you.
Role Overview
We're seeking a Senior Software Engineer I – 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.
Requirements:
- Bachelor's or Master's degree in Computer Science or related field from a top-tier institution (IITs, NITs, BITs, or equivalent).
- 6+ 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.
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.
