Applied AI Engineer (AI)

Location: New York, NY; compensation is specified for New York-based hires, while pay for other locations may differ.

Salary: $140,000–$170,000 USD annually for New York-based hires.

Company

hirify.global is an AI-driven financial technology company providing consumer credit and residential real estate solutions through machine learning, extensive data networks, proprietary APIs, and capital solutions.

What you will do

• Build and deploy AI-enabled workflow transformations for the Office of the CEO and President, Capital Markets, Finance, and Operations.
• Identify manual and data-intensive processes and develop production-ready AI tools, customized copilots, and agentic workflows.
• Integrate LLMs, foundation models, and AI agent frameworks with data infrastructure, dashboards, and financial models.
• Translate ambiguous business problems and complex financial data into practical solutions with business leaders, analysts, and capital markets teams.
• Rapidly prototype, iterate, and deploy solutions while following enterprise data security, governance, and responsible AI standards.
• Document and templatize solutions, conduct walkthroughs, and support adoption across technical and non-technical teams.

Requirements

• 4+ years of experience in data engineering, business intelligence, or software engineering, including hands-on applied AI, internal tools, or AI automation development.
• Strong SQL, data modeling, BI tools such as Tableau, Power BI, or Looker, and experience working with large datasets.
• Advanced Python, JavaScript, or TypeScript skills for data manipulation, backend scripting, and rapid prototyping.
• Experience with LLM APIs and ecosystems such as OpenAI, Claude, or Gemini; agentic orchestration frameworks; RAG architectures; and enterprise AI platforms.
• Strong communication and stakeholder management skills, including explaining technical and financial concepts to non-technical leadership.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, Engineering, or an equivalent quantitative discipline.

Nice to have

• Experience with financial services, structured finance, fixed income, or capital markets workflows.

Culture & Benefits

• Fast-paced environment focused on building end-to-end solutions from AI models and unique data sources.
• Collaborative culture based on partnership, community, accountability, and continuous learning.
• Health, happiness, and productivity benefits and perks.
• Values emphasize thoughtful debate, decisive execution, inclusion, and ownership of results.