Doss
Staff Applied AI Engineer
San Francisco · Staff+
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About the role
- Every ERP claims to be "AI-powered." Almost none of them let an operator ask a question in plain language and get an answer grounded in their live procurement, inventory, and finance data, let alone let an agent safely take action on it.
- You'll be the technical anchor for how foundation models meet a transactional system of record.
- Stand up the eval and observability infrastructure to measure quality, catch regressions, and proactively detect anomalous or risky emergent behavior.
Responsibilities
- Own the applied AI architecture end-to-end: model selection, orchestration, RAG over the unified operational data model, evals, guardrails, and cost/latency budgets in production.
- Build Dossbot into the primary interface for operations: natural-language search, analysis, and automation grounded in live supply-chain, finance, and ops data.
- Engineer AI-assisted tooling that uses foundation models to propose, validate, and apply customer schemas and workflow definitions on live production tenants.
- Design agentic workflows that act inside enterprise guardrails: permission-aware, auditable, tenant-isolated, and safe to run against a customer's system of record.
- Partner with product, design, and our Forward Deployed team to deliver on their highest-leverage AI use cases.
- Mentor and shape engineering culture as the team's center of gravity for applied AI, raising the bar on how we build, evaluate, and ship LLM-powered systems.
Skills
- Procurement
- Inventory
- Orders
- Fulfillment
- Finance
- Strong backend fundamentals: Designing systems, Postgres, and cloud services for reliable, multi-tenant web applications.
Company info
- Growth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.
- What we're looking for:
This listing is sourced directly from Doss's careers page and normalized into a canonical job model.