Member of Technical Staff Tech Lead

present of AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Resolve AI is seeking a senior backend engineering lead who can own the architecture of large subsystems and guide a team from design through long-term changes. The role requires hands-on backend work at scale, a track record of shipping LLM-powered features to real customers, and deep cloud and Kubernetes expertise to keep systems reliable.

You will mentor engineers, set technical direction, and ensure production readiness for fast yet careful iteration.

Qualifications

• Experience as tech lead or engineering manager.
• Proven track record shipping LLM-powered features.
• Experience building scalable backend services.
• Strong cloud and Kubernetes depth; database and messaging knowledge.
• Ability to ship rough versions quickly and refine them.

Responsibilities

• Lead a group of engineers and own backend architecture from design to production.
• Drive technical direction and code reviews across the team.
• Ship LLM-powered features and ensure reliability in production.
• Collaborate on incident triage and observability work.

Skills

Tech lead experience

Shipped LLM features

Scalable backend services

Architectural leadership

Tools

AWS

Kubernetes

Databases

Job description

This role leads a group of engineers while owning the architecture of large backend subsystems, from first design through long term change. A strong candidate has years of hands on backend work at scale, has already led a team and set technical direction, and has shipped LLM powered features or agents to real customers. The job also asks for cloud and Kubernetes depth, solid database and messaging knowledge, and a habit of shipping a rough version fast and then refining it.

How it fits the AI era

The product itself is an AI agent that handles production incidents, so the work sits close to where AI meets reliability engineering. AI tools are expected to speed up coding and debugging across the team, which shifts the lead's time toward judgment, architecture and review. What stays human is the technical call making, the mentoring, and the care needed to keep AI features dependable in production.

How it builds AI experience

A person here would gain direct practice in making AI agents production grade, including evals, agent design and handling unpredictable model behavior. That learning is grounded in real incident and observability scenarios, since the company builds agents that triage alerts and resolve issues. Building this background means showing shipped LLM features and evidence of keeping them reliable under real load.

Worth showing

• Tech lead experience
• Shipped LLM agent features
• Scalable backend services
• AWS and Kubernetes

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Resolve.ai

Resolve AI is an AI SRE platform whose agents go on-call, triage alerts, investigate incidents, and autonomously resolve production issues, per the company.