Note: The job is a remote job and is open to candidates in USA. HubSync is an end-to-end platform for tax and audit firms, focusing on document management, workflow automation, and AI-powered document processing. They are looking for an experienced AI Engineer to help transform their platform into an AI-native system with agentic capabilities, focusing on backend engineering and production system delivery.

Responsibilities

• Agentic workflow orchestration. Multi-agent coordination across tax document workflows with human-in-the-loop oversight. Agent state machines, tool routing, context windowing, and retry semantics for processes that run for minutes or hours
• Document intelligence at scale. Production-grade pipelines that extract, classify, and validate tax forms and financial documents across dozens of formats and quality levels
• Workflow state management. State hydration for long-running agentic workflows, failure handling, checkpoint/resume, and recovery across distributed services
• Evaluation and observability. Task completion rates, accuracy attribution, cost tracking per action, regression detection. Attributing outcomes to specific agent reasoning steps when something goes wrong
• Cost-accuracy optimization. Optimizing cost, accuracy, and latency trade-offs across different document types, complexity levels, and client tiers during peak tax season volume
• Trust and reliability. Making non-deterministic agent output trustworthy for professionals who cannot accept errors. Supervision layers, validation rules, human review gates

Skills

• 4+ years building and shipping backend systems in production environments where uptime and correctness matter
• A track record of delivering enterprise-grade features and products, from design through deployment and ongoing operations
• Deep experience with relational databases: PostgreSQL or equivalent, schema design, query optimization, data modeling, migrations
• Hands-on work with event-driven architectures: message queues, async processing, distributed job execution
• Production experience with AWS (Lambda, SQS, S3, ECS) or equivalent cloud platforms
• Comfort reading and writing both TypeScript and Python (or the ability and willingness to pick up a second language quickly)
• Experience with the full software delivery lifecycle: design, implementation, testing, deployment, monitoring, and incident response
• Exposure to agentic systems, agent orchestration frameworks, or multi-agent workflow design
• Familiarity with RAG architectures, vector databases, or document processing pipelines
• Experience with multi-tenant SaaS architecture (schema isolation, tenant-scoped data, access control)
• Background in document intelligence: OCR, structured extraction from PDFs, form understanding
• Open-source contributions, technical writing, or other public evidence of engineering depth

Company Overview