Senior Software Engineer - AI

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. Were 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.

Role Overview

Were 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 23 engineers, drive architectural decisions within your project scope, and deliver scalable, production-grade AI systems that power Goldcasts content intelligence capabilities.

Youll 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:

• Bachelors or Masters 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.