[Remote] Staff AI Engineer

Note: The job is a remote job and is open to candidates in USA. HubSync is building the AI platform for the tax and accounting profession. As a Staff AI Engineer, you will be a technical leader for the Halo platform, responsible for setting architectural direction and ensuring the reliability of the systems built for CPA firms.

Responsibilities

• Set architectural direction for how we build agentic systems
• Define the patterns and guardrails the rest of the AI engineering team builds on
• Be accountable for the reliability and trustworthiness of what we ship
• Design and build the hardest parts of the system
• Move fluidly across backend, data, infrastructure, and product
• Raise the engineering bar of the people and vendor teams around you
• Partner directly with product, AI, and firm-facing teams
• Set the technical direction for agentic workflow orchestration
• Define the orchestration patterns the team reuses
• Own the durable run-record and state layer that makes long-running agents auditable and resumable
• Set the architecture for accuracy, coverage, and the validation layer for document intelligence at scale
• Stand up the eval and observability discipline as a platform capability
• Make non-deterministic agent output trustworthy for professionals who cannot accept errors
• Optimize the trade-offs across document types, complexity levels, and client tiers during peak tax-season volume

Skills

• 8+ years building and shipping backend systems in production environments where uptime and correctness matter, including several years operating them
• A track record of leading the design of complex, distributed, or high-scale systems from architecture through deployment and ongoing operations, with enterprise-grade features that users depend on today
• Hands-on production experience with agent orchestration frameworks (LangGraph or equivalent) and long-running, stateful, multi-step agentic workflows. You will set the orchestration and state patterns the team builds on, so you need to have shipped this class of system, not just read about it
• Demonstrated technical leadership beyond your own commits: setting patterns and standards, driving cross-team or cross-functional initiatives, mentoring engineers, and influencing decisions across an organization
• Deep experience with relational databases (PostgreSQL or equivalent): schema design, query optimization, data modeling, and migrations
• Hands-on work with event-driven architectures: message queues, async processing, and distributed job execution
• Production experience with AWS (Lambda, SQS, S3, ECS) or an equivalent cloud platform
• Comfort reading and writing both TypeScript and Python, or clear evidence you pick up a second language fast
• Experience across the full software delivery lifecycle: design, implementation, testing, deployment, monitoring, and incident response
• Sound judgment on build versus buy, and the ability to make and defend architectural trade-offs under real time and cost constraints
• Depth in multi-agent coordination specifically: designing supervision, routing, and hand-off between multiple cooperating agents
• Familiarity with RAG architectures, vector databases, or document processing pipelines
• Experience with multi-tenant SaaS architecture: schema isolation, tenant-scoped data, and access control
• Background in document intelligence: OCR, structured extraction from PDFs, and form understanding
• Experience standing up evaluation, observability, or quality systems for ML or LLM products (offline and online eval, regression detection, cost and accuracy attribution)
• Work in a regulated or high-trust domain (tax, finance, legal, healthcare) where output correctness is non-negotiable
• Open-source contributions, technical writing, or other public evidence of engineering depth

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