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AI Engineer

Green Street

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About the job

Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including artificial intelligence, machine learning, graph databases and event streaming? If so, we are excited to have you join the Green Street technology team. We are a group of innovative technologists working together to fuel the growth of one of the fastest growing technology companies in the Commercial Real Estate (CRE) Space.

 

We are looking to hire a talented AI Engineer who is interested in joining one of our new AI Technology Teams. You will work on an Agile team dedicated to building and continuously improving AI-enabled processes to solve a wide range of business challenges.

 

Whats it like working with our team of dedicated technologists? We are passionate about great Agile teams, engineering excellence through paired programming, automated testing, close collaboration with each other, and a highly transparent tech organization. Youll have multiple opportunities to work on interesting projects and engage with some of the brightest engineering minds anywhere.

 

We love great engineers and are excited to get to know you better. Please share your resume today!

 

Job Responsibilities

  • Collaborate with the technology team and stakeholders to develop new AI-enabled processes
  • Continuously work with Subject Matter Experts to refine processes to provide consistent results
  • Understand Green Street's business domains and help identify areas where AI can enhance efficiency or provide new capabilities
  • Work within and help expand an innovative, established customer-facing AI platform
  • Be an active participant in architectural discussions
  • Drive a strong engineering culture of innovation and continuous improvement

 

Candidate Profile

  • 3-5 years experience in a software engineering role including 1-3 years of experience in an AI-focused role, having built end-to-end AI-enabled processes
  • Intermediate knowledge of C# and/or Python
  • Experience with Large Language Model (LLM) advanced prompting techniques (chain-of-thought, self-calibration, prompt chaining, etc.) as well as advanced features such as Function (Tool) Calling, Retrieval Augmented Generation, and Agent Orchestration
  • Generate, curate, and refine training data for fine-tuning and improving LLM models or Machine Learning tasks
  • Bachelor's degree in computer science / engineering or equivalent experience through coding bootcamp
  • Strong SQL Skills (MySQL, PostgreSQL or similar)
  • Enjoy problem solving, have excellent communication skills and demonstrate impeccable attention to detail
  • Proficiency with Git
  • Proficiency with API development and Data Pipelines

 

Nice-to-Haves

  • Experience with Microsoft Semantic Kernel and ML.NET
  • Experience in Natural Language Processing techniques
  • Neo4J Graph Database experience
  • Vector Databases experience (such as QDrant or similar)
  • Familiarity with event streaming architecture using Apache Kafka or similar
  • Experience with AI-assisted search, anomaly detection, and/or recommendation engines

 

Company Overview And EEOC/Diversity

Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia to make optimized investment and strategic decisions. To learn more, please visit www.greenstreet.com.

 

The success of Green Street is directly attributable to the strength of our people. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. Were building a company culture where differences are celebrated and valued.

 

Green Street is an Equal Opportunity Employer

Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

 

Incentive Performance Bonus

  • Incentive Performance Bonus
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