Staff Ai Engineer (Fintech)

TL;DR

Staff AI Engineer (Fintech): Building AI systems and tools to support AI-first workflows across hirify.global with an accent on agent platform features and capabilities end-to-end. Focus on mentoring engineers on how to design, build, and operate agentic systems, and bring outside innovation back into our roadmap.

Location: Must be based in the USA. Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

Salary: $170,000 - $250,000 USD

Company

hirify.global is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience.

What you will do

• Design, implement, and maintain the agent platform including orchestration, tool execution, sandboxed code runtimes, observability, and the developer-facing SDKs and UI.
• Design and develop new APIs, SDKs, and developer surfaces that let other teams onboard agents quickly and safely.
• Scale the platform to support a growing catalog of agents, skills, and MCP integrations across hirify.global while maintaining performance, reliability, and cost efficiency.
• Continuously improve our daily operations with automation, tooling, design evolution, and observability.
• Work closely with cross-functional teams to identify high-leverage AI use cases and turn them into production-ready agents on the platform.
• Set the bar for AI-assisted engineering practices and responsible AI use across hirify.global, mentor engineers on how to design, build, and operate agentic systems, and bring outside innovation back into our roadmap.

Requirements

• 6+ years of experience in software development or a related field, with at least 2+ years building production AI or agentic systems.
• Experience in technical leadership, guiding engineering teams through complex projects.
• Hands-on experience with coding CLIs and AI dev tools.
• Experience with agent infrastructure and code-execution sandboxes.
• Experience building AI-first workflows end-to-end, including LLM application design, prompt and context engineering, RAG, and human-in-the-loop patterns.
• Experience creating and managing agents and agent platforms, including multi-agent orchestration, tool/skill registries, and MCP-based integrations.
• Experience with eval frameworks and offline/online evaluation of agent quality, plus observability and tracing for non-deterministic systems.
• Experience with Java, Python, Golang, or TypeScript/Node.js.
• Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB.
• Experience designing and developing fault-tolerant and scalable distributed systems, including workflow and job-orchestration engines.
• Experience with AWS cloud services: ECS/EKS, Lambda, API Gateway, VPC, RDS, etc.
• Infrastructure as code (AWS CLI, AWS CDK/Terraform).
• Strong communication skills with the ability to understand and explain technical issues to a non-technical audience.
• Follow engineering best practices as well as propose new ones - especially around responsible AI use, guardrails, and security for agentic systems.

Nice to have

• Experience with model and prompt evaluation tooling, secure tool-use sandboxing, retrieval and vector stores, and operating multi-tenant AI platforms at scale.

Culture & Benefits

• We have employees located throughout the US, Australia, Canada and South America.
• Competitive medical, dental, and vision for full-time U.S. employees.
• Company equity.
• 401(k) plan with company match for full-time U.S. employees.
• Unlimited paid time off + 13 company paid holidays for full-time U.S. employees.
• Parental leave for full-time U.S. employees.