Valority is building Luke, an autonomous AI decision engine for marketing and growth teams. Luke connects fragmented marketing, funnel, CRM, and revenue data, understands business context through a semantic operating layer, and delivers trusted, explainable, financially grounded insights and recommendations.
We are looking for an AI Engineer with hands-on experience building production-grade agentic systems. This role is ideal for an engineer who can move beyond prototypes and build reliable AI workflows that reason over
.enterprise data, execute analytical tasks, and produce explainable outputs users can trust.
What You’ll Do
• Build and maintain production-grade AI agents and agentic workflows for Luke’s decision engine.
• Design multi-step agent reasoning flows, including planning, tool calling, state management, retries, error handling, and workflow orchestration.
• Implement RAG and semantic retrieval capabilities across structured and unstructured enterprise knowledge.
• Integrate LLM workflows with Luke’s Semantic OS, including KPIs, business entities, formulas, mappings, policies, and guardrails.
• Build agent tools that interact with databases, APIs, analytical models, and external systems.
• Develop backend services in Python and user-facing workflows in React.
• Implement evaluation frameworks for agent quality, including task success, factuality, trajectory quality, tool-call accuracy, robustness, and consistency.
• Build safeguards for prompt injection, hallucination detection, data leakage prevention, PII masking, and output validation.
• Collaborate with product, data science, and domain experts to translate business use cases into reliable AI workflows.
• Help design infrastructure for observability, tracing, auditability, and explainability of AI-generated insights and recommendations.