Forward Deployed AI Engineer (Fintech)

Location: USA, NYC-Metro; hybrid

Base compensation: $200,000–$300,000 plus equity; some roles may be bonus eligible.

Company

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

What you will do

• Design and deploy LLM-powered agents using prompt design, tool use, orchestration logic, RAG, and system evaluation for complex credit workflows.
• Partner directly with technical and non-technical stakeholders at major credit firms to understand workflow pain points and co-develop ROI-driven AI solutions.
• Architect and maintain backend systems and APIs connecting data sources and customer platforms, with high availability, performance, and observability.
• Evaluate and optimize accuracy, latency, reliability, cost, and explainability through rigorous experimentation.
• Define technical architecture, reusable agent-deployment infrastructure, AI engineering practices, and the long-term technical roadmap.
• Help establish engineering culture, hiring standards, and technical direction as an early hire working with the founders.

Requirements

• 6–10+ years of software engineering experience, including 1–2+ years building LLM-based agents and/or RAG systems in production.
• Experience building multi-agent orchestration with agent-to-agent handoffs, RAG systems, vector database routing, and evaluation or guardrail frameworks.
• Experience logging, evaluating, and optimizing AI applications, including LLM latency and inference cost.
• Proficiency in Python and experience with modern AI/ML frameworks, cloud infrastructure, and APIs; GCP experience is preferred.
• Strong intuition for system architecture, performance, and scaling.
• Clear communication in ambiguous, high-stakes problem spaces.
• Ability to move quickly, own outcomes, and build enduring systems.

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 or contributing to an internal AI platform or reusable LLM tooling.

Culture & Benefits

• Early-stage engineering role with ownership of key technical decisions from day one.
• Direct collaboration with founders experienced at Google AI, JPMorgan, and Silver Lake.
• Hybrid work in the NYC metro area and full-time employment.
• Base compensation plus equity; some roles may be bonus eligible.
• Focus on curiosity, pragmatism, engineering excellence, and high technical standards.