Full-Stack Engineer – Enterprise AI Agents

Rnb Consultancy; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Visa sponsorship

Equity

Job summary

Rnb Consultancy in San Francisco is seeking a backend-leaning engineer to own the backend of a platform that evaluates AI agents and improves them, with data modelling across tests, experiments, agent traces and knowledge versions.

You will handle enterprise integrations, auth, webhooks, syncing and backfills, and contribute across the stack from design to deployment. Visa sponsorship is possible; equity offered.

Qualifications

• 3–6 years building and running production software.
• Backend depth with the ability to ship across the full stack.
• Experience with TypeScript on Node.js or Bun in production, and strong Postgres knowledge.
• Experience with Redis, queues, workers or workflow engines.
• Built APIs, integrations and data flows for multi-tenant software.
• Observability and distributed systems; debugging workflows across services.

Responsibilities

• The backend of a platform that evaluates agents and keeps improving them.
• Data modelling for test sets, experiments, agent traces, knowledge versions and results.
• Enterprise integrations: auth, webhooks, syncing and backfills, robust and observable.
• Features across the stack from design to deployment, monitoring and customer feedback.
• Real say in architecture and product decisions, and time with enterprise customers.

Skills

Backend development

TypeScript

Node.js

Observability

Distributed systems

Tools

Postgres

Redis

Queues/workers

Workflow engines

Job description

AI agents are live at big brands. Who makes sure they keep getting better?

A small seed-stage startup in San Francisco builds the infrastructure that keeps enterprise AI agents improving after launch. Their control plane manages the knowledge behind production chatbots and agents and connects how those agents perform in the real world with the knowledge they depend on. For a team this size, the customer list is unusual: they already run live deployments with household-name enterprises, mostly support and IT teams in heavily regulated sectors.

What you'll own

• The backend of a platform that evaluates agents and keeps improving them
• Data modelling for everything the platform tracks: test sets, experiments, agent traces, knowledge versions and results
• Enterprise integrations, fully yours: auth, webhooks, syncing and backfills, and making them robust and observable
• Features through the whole stack, from design to deployment, monitoring and customer feedback
• Real say in architecture and product decisions, and time with enterprise customers when it matters

What you bring

• 3–6 years building and running production software
• Backend depth, plus the ability to ship across the full stack
• TypeScript on Node.js or Bun in production, and you're strong in Postgres
• Experience with Redis, queues, workers or workflow engines
• You've built APIs, integrations and data flows for multi-tenant software
• Observability and distributed systems; you enjoy debugging workflows that span many services

Bonus points

• Enterprise integrations you owned end to end
• Exposure to LLM observability, agent evaluation or ML infrastructure
• Startup experience after time at a strong engineering company

What's in it for you

• $130k–$180k base + 0.25–1% equity
• Real ownership in a tiny, technical team that already has enterprise customers
• Visa sponsorship possible

Good to know

• Full-time, on-site in San Francisco, 9-9-5
• This is a backend-leaning role: a front-end focus won't be the right fit
• Process: screening with a founder → deep technical and design interview → work trial or on-site day → offer