Senior AI Engineer (Full-Stack)

We are hiring a Senior AI Engineer to help build the core systems behind The Hog, an AI-native platform that automates growth, prospecting, and revenue generation for B2B companies.

This is a senior, hands-on role. You will design and build production-grade AI systems end to end, work directly with customers, and own large parts of the technical surface area. You should enjoy ambiguous problems, heavy systems work, and talking to users as much as writing code.

This role is ideal for someone who wants real ownership, high impact, and proximity to customers without the title baggage.

What you will do

Design and build AI-driven systems that run continuously in production

Own backend and full-stack features from idea to deployment

Build and maintain reliable async systems (jobs, queues, workflows, retries, failure handling)

Work directly with customers to understand problems, debug issues, and ship improvements quickly

Design clean service boundaries and APIs across a growing system

Help set technical direction, patterns, and quality bars as the team scales

Operate and improve production systems (observability, reliability, performance)

What we are looking for

• Available for full-time hours

• Be able to work during PST (Pacific Time Zone)

• Strong systems engineer with deep backend experience

• Comfortable across the stack (Node, TypeScript, Next.js)

• Customer-obsessed and opinionated about developer and user experience

• Enjoys ambiguity and building from first principles

• Able to reason about scale, failure modes, and long-running processes

• Communicates clearly with both engineers and customers

• Experience

• At least 7 years of professional software engineering experience

• Experience shipping and owning production systems end to end

• Experience working closely with customers is a big plus

• Startup experience is a plus but not required

• Technical background (you should have strong experience in at least one of these)

• Distributed job / workflow systems such as Temporal, Trigger.dev , DBOS, or Airflow

• Queuing systems such as BullMQ or similar

• Heavy async systems, background processing, retries, idempotency

• Service-oriented or event-driven architectures

• CI/CD and production operations

• LLM-powered systems and AI-driven products

• Tech stack (today)

• TypeScript, Node.js, Next.js

• Queues, workflows, and background workers

• Postgres and modern data tooling

• LLMs and AI agents in production

• Why this role

You will work on real systems used by real customers

You will have outsized ownership and influence on the product

You will help define how AI-native companies are built

• Small team, high trust, high bar

• If you are a senior engineer who enjoys building heavy systems, talking to customers, and owning real outcomes, we would love to talk.