Senior Backend Engineer — AI Agents Platform
Listed on 2026-01-20
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Software Development
Cloud Engineer - Software, Backend Developer
Description
HOAi is a fast‑growing startup revolutionizing the community association management industry. Our AI workforce platform integrates machine learning technology to streamline labor‑heavy processes, eliminating inefficiencies and driving scalability. With rapid growth in the AI space, we are pushing boundaries to redefine industry standards.
HOAi is the leading AI solution for the community association management industry, enabling organizations to deploy AI Agents that function like experienced managers. These AI Agents go beyond traditional AI by proactively executing complex, multi‑step processes with human‑like reasoning—working autonomously, 24/7, across your entire operation. This transformation optimizes labor costs, enables growth without additional hires, and ensures faster, higher‑quality service for residents and board members.
HOAi was acquired by Vantaca in the fall of 2024. Vantaca just achieved unicorn status with a $1.25B valuation, so it’s safe to say we’re past the “scrappy startup phase.” We’re not just building a successful company – we’re rebuilding the category‑defining platform that will transform how an entire industry operates.
Here’s the reality of our trajectory:
- Growing 100% year‑over‑year
- Our AI product (HOAi) went from $0 to millions in months
- Backed by Cove Hill Partners and JMI Private Equity
- 6M+ doors on our platform, displacing legacy systems
We’re building a large‑scale, highly reliable platform for vertical AI agents. Our agents execute real workflows: they call tools, integrate with third‑party systems, and operate over complex, evolving data. This role owns the backend systems that make agents dependable in production—agent runtime services, integrations, data modeling, observability, and platform reliability. You will work in a high‑velocity environment with real ownership: you’ll design systems, ship quickly, measure outcomes, and harden the platform as it scales.
Whatyou’ll do
- Own core backend services powering agents
: build and operate the agent runtime services (tool execution, state management, orchestration, retries, idempotency, rate limiting). - Design robust APIs and contracts
: develop stable, well‑versioned APIs (internal + external), including webhook/event interfaces and integration adapters. - Model complex domain data
: design schemas and data access patterns that support agent memory/state, workflow history, audit trails, permissions, and multi‑tenant isolation. - Integrations at scale
: implement and maintain high‑quality integrations (OAuth, webhooks, sync engines, connectors) with strong observability and failure handling. - Reliability engineering
: define and improve SLIs/SLOs, implement end‑to‑end tracing, build safety rails (timeouts, circuit breakers, budgets), and run incident response. - Platform performance and cost control
: optimize throughput/latency, queue backlogs, caching, storage, and inference/tool‑call costs; build guardrails for runaway tasks. - Raise engineering standards
: drive code quality, testing strategy, on‑call hygiene, runbooks, postmortems, and mentoring.
- Experience
: 6+ years building backend systems for production SaaS, platforms, or distributed systems. - Backend depth
: strong fundamentals in distributed systems, concurrency, queues/workers, caching, and production operations. - Data modeling strength
: excellent relational modeling (Postgres/MySQL), migrations, indexing, query optimization, and data correctness. - API design excellence
: proven ability to design clear, evolvable APIs and contracts across services and external partners. - High pace + high quality
: you thrive in fast‑moving environments without sacrificing reliability or security. - Curiosity and ownership
: you enjoy ambiguous problems, learn quickly, and take systems end‑to‑end (build → ship → operate).
- LLM experience
: building product with LLMs (prompting, tool calling, evals, latency/cost tradeoffs). - Agent architecture familiarity
: orchestration patterns, planning/execution loops, memory/state, sandboxed tool execution, human‑in‑the‑loop, safety constraints. - Framework familiarity
:
Vercel AI SDK, Lang Chain/Lang Graph, Anthropic…
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