Applied AI Engineer
Job Description
REQUIREMENTS
- 6+ years in software engineering
- 2+ years of focused experience building production AI or LLM-powered applications
- Hands-on experience with LLM APIs, prompt engineering, RAG, and agentic workflow design
- Proficiency with low/no-code orchestration platforms (n8n, Make, Zapier)
- Strong backend or full-stack engineering fundamentals
- Fluency in Python, TypeScript, or Node.js
- Familiarity with PostgreSQL and cloud deployment platforms (AWS, Vercel)
- Experience with multi-agent frameworks like LangChain or LlamaIndex
- Familiarity with vector databases and embedding pipelines
Preferred
- Experience in fintech, proptech, or real estate technology
- Knowledge of SOC 2 or data privacy frameworks
RESPONSIBILITIES
- Socialize AI capabilities, limitations, and roadmap across the organization
- Maintain a prioritized backlog of AI opportunities across the business
- Define AI initiatives end-to-end including problem framing and data requirements
- Build, integrate, and maintain AI-powered features using LLM APIs, RAG pipelines, and agentic frameworks
- Develop automation workflows using low/no-code orchestration tools like n8n or Make
- Partner with product and engineering teams to integrate AI into existing systems
- Collaborate with operations and business teams to identify workflow automation opportunities
Are you interested in this position?
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