Principal AI Engineer

Location: NYC-Metro; hybrid

Base compensation: $200,000–$270,000 annually, plus annual bonus and equity.

Company

hirify.global builds production-ready agentic AI systems for financial services, running defined workflows within institutional controls and audit boundaries.

What you will do

• Own the agentic AI strategy, governance standards, evaluation practices, safety requirements, and autonomy principles across the product suite.
• Design and deploy LLM-powered agents using prompt design, tool use, orchestration logic, and RAG for complex credit workflows.
• Partner with technical and non-technical stakeholders at major credit firms to co-develop AI solutions tied to workflow outcomes and ROI.
• Architect and maintain backend systems, APIs, and production infrastructure connecting customer platforms and data sources.
• Evaluate and optimize agentic systems for accuracy, latency, reliability, cost, and explainability.
• Define reusable agent-deployment infrastructure, technical architecture, engineering standards, and the long-term AI roadmap.

Requirements

• 10–15+ years of software engineering experience and 5–8+ years building AI/ML systems, LLM-based agents, or RAG systems in production.
• Expertise in multi-agent systems, agent-to-agent orchestration protocols, self-correcting agent loops, prompt-routing middleware, and AI safety practices.
• Strong experience with Python, modern AI/ML frameworks, cloud infrastructure, and APIs; GCP experience is preferred.
• Ability to solve ambiguous problems involving non-deterministic systems, including context pollution, runtime state handoffs, and safety.
• Strong intuition for system architecture, performance, and scaling, with clear communication in high-stakes problem spaces.
• Ability to mentor senior engineers and contribute to technical standards, hiring practices, and engineering culture.

Nice to have

• Experience with human-in-the-loop systems, feedback loops, and long-horizon agentic task execution.
• Background in financial systems, risk modeling, or decision automation.
• Familiarity with PydanticAI, LlamaIndex, Google ADK, Claude Agent SDK, or similar frameworks.
• Experience building an internal AI platform or reusable LLM tooling.

Culture & Benefits

• Work directly with founders with backgrounds at Google, JPMorgan, and Silver Lake.
• Join as one of the earliest hires and own key technical decisions from the start.
• Work on AI systems for regulated financial institutions and high-stakes credit workflows.
• Annual bonus and equity in addition to base compensation.
• Engineering culture centered on curiosity, pragmatism, and technical excellence.