Staff Engineer, AI & Agentic Development

About Stav Pay

Stav Pay is a SaaS platform that automates accounts‑payable workflows, payment processing, and financial operations for hedge funds, private equity firms, fund administrators and family offices. The platform handles invoice capture, approval routing, vendor management, multi‑entity accounting, and payment execution.

We are hiring a Staff Engineer to own the architecture, design, and delivery of AI‑powered and Agentic features across Stav Pay. This is not an ML research role - it is a product engineering role for someone who can take large language models, tool‑use patterns, and agentic frameworks and ship them as reliable, production‑grade features that financial operations teams depend on daily.

This role works alongside Lead Engineers who run the engineering team’s day‑to‑day delivery; the Staff Engineer owns architecture, patterns, and technical direction across both AI features and the broader platform.

You will define how AI is integrated into Stav Pay: which workflows become agentic, how models interact with our domain data, how we build trust and safety into autonomous financial operations, and how we evolve the platform architecture to support these capabilities at scale.

This is a high‑autonomy, high‑impact role. You will work across the full stack - from prompt engineering and model orchestration to API design, data pipelines, and frontend integration - and collaborate closely with product, design, and domain experts to ship features that meaningfully change how our clients operate.

You will work across the following stack. Deep expertise in every layer is not required—but you should be comfortable navigating a polyglot codebase and making architectural decisions that span these technologies.

• Cloud
  - Microsoft Azure (App Services, Functions, Storage, Service Bus, Key Vault)
• Backend
  - Python (primary for AI/agentic work); existing platform services in C# / .NET/ Python
• Frontend
  - Angular / Type Script
• Database - SQL Server
• Architecture
  - Containerized microservices (Docker, Azure Container Apps / AKS) and Azure App Services
• Dev Ops
  - Azure Dev Ops (CI/CD pipelines, repos, boards)
• AI Tooling
  - Claude, Codex CLI and Cursor for agentic development workflows
• Integrations - MCP servers, REST APIs, payment rails (NACHA, ISO 20022, SWIFT), accounting system APIs

• Design and build the core agentic infrastructure for Stav Pay: agent orchestration, tool‑use frameworks, memory/context management, and guardrails for autonomous financial workflows.
• Define the architecture for how LLMs interact with Stav Pay’s domain model: invoices/contracts/purchase orders, approvals, vendor records, payment instructions, payment orchestration, accounting entries - safely and reliably.
• Build and maintain MCP (Model Context Protocol) servers and integrations that expose Stav Pay’s capabilities as tools for AI agents and external AI platforms used by our clients.
• Design patterns for human‑in‑the‑loop oversight, approval gates, and escalation paths in agentic financial workflows.

• Lead development of AI‑powered product features: intelligent invoice processing, automated approval routing, anomaly detection, natural‑language querying of financial data, and predictive cash‑flow analysis.
• Build and iterate on prompt chains, retrieval‑augmented generation (RAG) pipelines, and multi‑step agent workflows tailored to financial operations.
• Implement evaluation frameworks: automated testing for AI outputs, regression detection, quality scoring, and production monitoring for model‑driven features.
• Own the integration layer between LLM providers (Anthropic, OpenAI, etc.) and Stav Pay’s backend‑model selection, fallback strategies, cost optimization, and latency management.

• Set technical direction for AI/agentic development across the engineering team. Write RFCs, architectural decision records, and technical specifications.
• Mentor engineers on AI integration patterns, prompt engineering, evaluation methodology, and safe deployment of model‑driven features.
• Establish engineering standards for AI features:…