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.