About this role
Based in Union Square, New York City, the Software Engineer, Agents position at Captions involves building agentic systems for creative video workflows and suits engineers experienced in machine learning systems. This full-time role requires working in-person at the company headquarters.
Role Overview
Captions seeks a Software Engineer for its agents team to design and construct agentic systems that drive creative workflows for short-form video. The engineer operates across product, machine-learning, and systems engineering domains to manage problems end-to-end. Internal operations do not use hierarchical titles, though the organization currently targets candidates operating at a senior or staff-plus scope.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Captions operates as an artificial intelligence video company creating a workspace for generating, editing, and designing video. The organization builds multimodal agents, rendering engines, and generative video models. Backed by investors such as Index Ventures, Kleiner Perkins, Sequoia Capital, and Andreessen Horowitz, the company headquarters are located in Union Square, New York City.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is located in-person at the company headquarters in Union Square, New York City.
What is the salary and equity offering?
The salary ranges from $175K to $300K and includes offers for equity.
How many years of experience are required?
Candidates must have 5 or more years of professional industry experience.
What benefits are included for full-time employees?
Benefits include medical, dental, and vision plans, a 401K with employer match, commuter benefits, catered lunches, dinner stipends, a Grubhub subscription, wellness perks, monthly events, team offsites, and generous paid time off.
What specific technical background is necessary?
Applicants need a track record of developing machine learning systems or agentic pipelines in production, alongside deep experience in context engineering like RAG systems and token optimization.