AI Engineer

A leading private real estate investment firm is seeking a highly skilled and collaborative AI Engineer to help build and scale its next-generation enterprise AI capabilities. This is an exciting opportunity for a hands-on technology professional with expertise across software engineering, machine learning, cloud architecture, data platforms, and AI product development. The successful candidate will work closely with business leaders, engineers, analysts, and operations teams to design, build, deploy, and maintain AI solutions that create measurable business value. Rather than building isolated AI tools, this role will focus on developing scalable, reusable, and secure AI capabilities that can be leveraged across the organization., * Design and develop AI-powered applications, agents, copilots, and decision-support systems.

• Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Develop and deploy agentic workflows using modern AI orchestration frameworks.
• Build reusable AI services and capabilities that support multiple business functions.
• Evaluate emerging AI technologies and identify practical business applications.
• Design, build, and maintain scalable cloud-native applications and AI-enabled systems.
• Develop APIs, backend services, integrations, and automation workflows.
• Establish software engineering standards and best practices for AI-enabled products.
• Evaluate AI and machine learning models for performance, accuracy, reliability, latency, and cost.
• Develop testing and evaluation frameworks for production AI systems.
• Help establish the organization’s long-term enterprise AI platform strategy.
• Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Fabric, OneLake, Power Platform, Azure, and other enterprise systems.
• Partner with business teams to identify and develop high-value AI opportunities.
• Implement security, governance, monitoring, auditability, and compliance controls for AI solutions.
• Establish best practices for responsible AI adoption and operational excellence.
• Stay current with advancements in LLMs, AI agents, reasoning models, machine learning, MCP, and enterprise AI platforms., Job Title: Hardware Test Engineer Responsibilities Design and execute tests for embedded hardware and firmware to verify functionality, performance, and reliability. Develop a…
• 12 days ago +

• 5+ years of experience in software engineering, cloud engineering, machine learning, AI engineering, or a related field.
• Experience building and deploying production-grade applications.
• Strong understanding of modern software engineering practices, including CI/CD, testing, version control, and deployment automation.
• Experience designing scalable cloud-based architectures.
• Strong experience working directly with business stakeholders to solve complex problems.
• Experience with AI technologies such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Microsoft Copilot, or Copilot Studio.
• Knowledge of RAG architectures, agentic workflows, prompt engineering, and AI model evaluation.
• Experience with machine learning platforms and AI frameworks such as Azure Machine Learning, Semantic Kernel, LangGraph, AutoGen, CrewAI, or similar technologies.
• Proficiency in one or more programming languages, including Python, C#, TypeScript, or JavaScript.
• Experience with technologies such as .NET, React, Node.js, REST APIs, and SQL.
• Experience with cloud platforms, data engineering, and enterprise application architecture.
• Familiarity with Microsoft technologies, including Microsoft 365, SharePoint, Teams, Fabric, OneLake, Purview, Entra ID, Power Platform, and Power Automate, is preferred.
• Strong analytical, problem-solving, communication, and collaboration skills.

• Play a key role in shaping the organization’s enterprise AI strategy and technical direction.
• Build innovative AI solutions that create measurable business value.
• Work across Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology.
• Develop scalable and reusable AI capabilities rather than isolated tools or prototypes.
• Work with emerging technologies across AI, machine learning, automation, cloud computing, and enterprise data platforms.
• Collaborate with business leaders and highly technical teams on high-impact initiatives.
• Influence engineering standards, AI governance, and responsible AI adoption.
• Join an organization actively investing in enterprise data, analytics, automation, and AI.
• Enjoy meaningful ownership, technical autonomy, and long-term professional growth opportunities.

Compensation & Benefits:

• Competitive compensation commensurate with experience and qualifications.
• Comprehensive benefits package.
• 401(k) retirement savings plan.
• Paid time off and company holidays.
• Professional development and continuing education opportunities.
• Exposure to cutting-edge AI, machine learning, cloud, and enterprise technologies.
• Long-term career growth within a technology-focused organization.
• Collaborative and innovative work environment.