Tech Lead, AI Production & Backend Architect

ResolveAI; San Francisco (CA); On-site; USD 220,000 - 300,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Housing Stipend

Unlimited PTO

Visa sponsorship

401(k) Plan

Parental Leave

Tech Benefit Stipend

Daily in-office meals

Job summary

Resolve AI in San Francisco is seeking a Senior Engineering Leader to guide a team building scalable AI production capabilities. You will set technical direction, own large subsystems, and mentor engineers to become owners.

You will work with researchers, product, and domain experts to turn SRE scenarios into production-grade AI features, design backend services and APIs, and ensure reliability, performance, and high concurrency.

Qualifications

• 5+ years of industry experience as a software engineer.
• Experience leading an engineering team to deliver projects.
• Experience building AI products with LLM-powered features.
• Backend services in high-concurrency production environments.
• Experience with AWS, Kubernetes, databases, and messaging systems.
• Bias for action and ability to quickly iterate.
• Bonus: SRE, on-call, incident response experience.
• Bonus: observability tools familiarity.

Responsibilities

• Lead a team of engineers and set technical direction.
• Own architecture of large subsystems from design to evolution.
• Raise engineering bar through design reviews, code reviews, and mentorship.
• Collaborate with researchers, product, and domain experts to turn problems into AI capabilities.
• Design, build, and scale backend services and APIs for AI agents.
• Bake reliability, scalability, and performance into every layer.
• Ship rough versions, observe, iterate, and improve.
• Leverage AI tools across the stack to accelerate delivery.

Skills

Team leadership

Backend engineering

AI product

AWS

Kubernetes

Databases

Messaging systems

Code debugging

Observability

Job description

Resolve AI in San Francisco is seeking a Senior Engineering Leader to guide a team building scalable AI production capabilities. You will set technical direction, own large subsystems, and mentor engineers to become owners.

You will work with researchers, product, and domain experts to turn SRE scenarios into production-grade AI features, design backend services and APIs, and ensure reliability, performance, and high concurrency.