Founding Backend Software Engineer
True Talent Solutions Partners
About the role
About the Role
Join an early-stage AI video company as a founding backend engineer. You will lead backend architecture and engineering practices while building systems that power generative video and agentic workflows.
What You'll Do
Design and develop scalable backend systems for AI-powered video creation.
Build infrastructure for agentic workflows, video generation pipelines, reinforcement learning loops, and real-time data processing.
Own distributed systems architecture and improve reliability through testing, performance benchmarking, and end-to-end observability.
Partner with researchers, engineers, and designers to develop product features and APIs.
Set technical direction and engineering standards while contributing high-quality code.
Document systems, define agent skills, and communicate technical decisions clearly.
What We're Looking For
Five to ten years of backend software engineering experience, including work at early-stage or high-growth startups.
Industry experience building agentic systems and working with LLMs or generative AI for at least one year.
Strong experience with scalable backend and distributed systems, large-scale data processing, information retrieval, and asynchronous workflows.
Professional experience with TypeScript and AWS; familiarity with services such as S3, Lambda, RDS, SQS, and ECS is relevant.
Strong fundamentals in algorithms, data structures, and system design, applied to production backend systems.
Experience acting as a technical lead and raising engineering standards through code and technical guidance.
A formal degree and fluent English communication skills.
Compensation & Benefits
Base salary: $225,000 to $275,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California.
Responsibilities
- Design and develop scalable backend systems for AI-powered video creation.
- Build infrastructure for agentic workflows, video-generation pipelines, reinforcement-learning loops, and real-time data processing.
- Own distributed-systems architecture and improve reliability through testing, performance benchmarking, and observability.
- Partner with researchers, engineers, and designers to develop product features and APIs.
- Set technical direction and engineering standards while contributing production-quality code.
- Document systems, define agent skills, and communicate technical decisions.
Qualifications
- Five to ten years of backend software engineering experience, including experience at early-stage or high-growth startups.
- At least one year of industry experience with agentic systems and LLMs or generative AI.
- Strong experience with scalable backend and distributed systems, large-scale data processing, information retrieval, and asynchronous workflows.
- Professional experience with TypeScript and AWS; familiarity with S3, Lambda, RDS, SQS, and ECS.
- Strong algorithms, data structures, and system-design fundamentals applied to production backend systems.
- Experience providing technical leadership and raising engineering standards.
- Formal degree and fluent English communication skills.