Own end-to-end applied AI for Dossbot and agentic automations built on live operational data.

Own applied AI architecture end-to-end: model selection, orchestration, RAG over the unified operational data model, production evals, guardrails, and production cost/latency budgets
Develop Dossbot as the primary operations interface for natural-language search, analysis, and automation grounded in live supply-chain, finance, and ops data
Build AI-assisted tooling using foundation models to propose, validate, and apply customer schemas and workflow definitions on live production tenants
Design agentic workflows that operate inside enterprise guardrails: permission-aware, auditable, tenant-isolated, and safe to run against a customer system of record
Stand up evaluation and observability to measure quality, catch regressions, and proactively detect anomalous or risky emergent behavior
Partner cross-functionally with product, design, and the Forward Deployed team to deliver high-leverage AI use cases
Mentor and raise team standards as a center of gravity for applied AI, improving how the team builds, evaluates, and ships LLM-powered systems

Shipped LLM-powered features or agents to production and operated them at scale (not just prototypes or demos)
Hands-on experience with foundation model APIs, RAG pipelines, tool use/function calling, and prompt and context engineering; fine-tuning where it earns its keep
Experience building eval harnesses and guardrails for non-deterministic systems running on business-critical data
Strong backend fundamentals: systems design, Postgres, and cloud services for reliable multi-tenant web applications
Ability to go from 0 to 1 in ambiguous settings, with judgment on when AI is the right tool
Team collaboration: positivity, openness, and curiosity
Growth mindset focused on learning and continuous improvement for self, team, and company
Craftsmanship and a focus on building high-quality systems
Customer First mindset focused on the customer experience journey and product delight
Pragmatic decision-making based on circumstances, not theory
Low ego, thriving in collaborative environments where everyone supports the team

Staff Applied AI Engineer

Job Description