Job Title

Role OverviewWe are seeking a Manager / Senior Manager – AI Product Engineering to lead the design, development, and deployment of AI-driven products that transform real estate investment and operational decision-making. This role combines hands-on full-stack engineering, AI/ML platform leadership, and people management, with clear ownership of cloud infrastructure and AWS environments supporting enterprise AI products.Key ResponsibilitiesAI Product Architecture & Full-Stack Development- Architect and deliver end-to-end AI products, owning both front-end (React) and backend services/APIs.- Build modern, scalable React-based user interfaces for AI-powered workflows, dashboards, and decision-support tools.- Design and implement backend services integrating LLMs, GenAI agents, and ML models.- Develop retrieval-augmented generation (RAG) pipelines using vector databases.- Design and deploy AI agents for workflows such as market analysis and deal underwriting.Cloud Platform & AWS Ownership- Own and manage AWS accounts and environments (dev, staging, production).- Architect secure, scalable AWS solutions using Bedrock, Lambda, ECS, S3, IAM, and VPC.- Lead deployment, scaling, and lifecycle management of AI services.- Establish best practices for cloud security, cost optimization, and reliability.AI Engineering, MLOps & Delivery- Oversee the full AI lifecycle from data ingestion to production deployment.- Implement MLOps best practices including monitoring and model versioning.- Benchmark models for accuracy, latency, explainability, and business impact.Leadership & Collaboration- Lead and mentor AI and full-stack engineers.- Conduct architecture and code reviews.- Collaborate with product, data, and business stakeholders.Required Qualifications- 8–12+ years in data / software engineering.- 3+ years in AI/ML or GenAI product development.- 2+ years in engineering leadership roles.- Strong experience with React, Python, and AWS.- Experience with AI, LLMs, RAG pipelines, and vector databases.Preferred Qualifications- Degree in Computer Science or related field.- Experience shipping AI products at enterprise scale.- Strong communication and stakeholder management skills.