Senior Applied AI Engineer

Veracity

Posted 18d ago

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Design and ship production agentic systems – multi-agent orchestration, tool use, RAG pipelines, and MCP-based integrations
Build the reliability layer around agents – evals, guardrails, observability, cost controls, and regression testing
Implement maker-checker patterns so AI accelerates regulated workflows without autonomously touching money, bind, or compliance decisions
Integrate agent capabilities with the deterministic core including canonical data model, Config Hub, and Control Tower task orchestration
Co-author and implement AI-first engineering principles – agent harnesses, AI-assisted code review, shared skills and prompt libraries, eval-gated CI, and dev-environment standards
Shape AI-first product principles – where AI belongs in the product, human-in-the-loop patterns, agent UX conventions, and build-vs-buy decisions
Set the standard through your own delivery – demonstrating what AI-first engineering makes possible and establishing reference patterns
Work directly with engineering leadership on the AI architecture roadmap and year-end production proof points

5+ years of software engineering experience with strong backend or full-stack foundations – APIs, event-driven systems, and data modeling
Real production experience with LLM-powered systems – agent orchestration, tool calling, RAG, and structured outputs
Demonstrated ability to make agentic systems reliable – evals, fallbacks, deterministic checkpoints, and cost and latency management
Strong product judgment – scope AI where it earns its place and default to deterministic code where it doesn't
Evidence you've changed how others build – workflows, harnesses, or practices you introduced that a team adopted and kept using
Clear written communication with comfort operating in an async-first, distributed team environment

Skills