Job Description

About Entera

Entera is the leading SaaS and Services platform for Enterprise and Mid-Market single-family investors, empowering them to buy, sell and operate their real estate investments seamlessly. Powered by Artificial Intelligence (AI), Entera’s online marketplace offers the best combination of data, technology, services, and expertise to real estate investors. Since its inception in 2018, Entera has transacted on more than $5B of single-family home transactions across 32 US markets. Backed by leading investors Goldman Sachs, Bullpen Capital and Craft Ventures, Entera empowers single-family buyers and sellers to make data-driven strategic decisions about their real estate, scale their operations, and achieve their investment goals. The company is headquartered in New York City, New York, and Houston, Texas.

The role:

As an AI Engineer at Entera, you’ll contribute to our AI and backend stack. You’ll be responsible for deploying tools to our internal AI architecture, particularly leveraging Large Language Models (LLMs) via frameworks & tools such as OpenAI compliant APIs, LangChain and LangSmith. You’ll develop and integrate AI solutions utilizing our internal software stack, primarily using Python, connecting data from internal APIs to hosted or internal LLMs. Experience with Go programming is a plus. You’ll be joining a team of highly skilled and motivated AI, backend, full stack, and frontend engineers helping to deliver on the Entera product roadmap. This is a fast-paced role in a rapidly growing engineering organization and an opportunity to make tangible contributions to the business as it grows.

What you’ll do:

• Develop and deploy AI production using AI agents , especially with LLMs.


• Implement AI solutions using frameworks like LangChain and LangSmith.


• Develop new services and features in Python, with FastAPI.


• Connect internal APIs to hosted LLMs for data integration.


• Provide support to core platform APIs.


• Contribute to TDD efforts and ensure near-complete code coverage in our automated test suite.


• Deliver high-quality, maintainable, and scalable code.


• Participate in code reviews.


• Partner across all business domains to ensure design specs are being met.


• Contribute to the Entera architecture.


• Work successfully in team sprints.

Requirements:

• Degree in BS, MS, PhD in Computer Science, Mathematics, or similar.


• Proficiency in LLMs, Prompt Engineering, Python, FastAPI and similar technologies


• 2+ years experience in Engineering at product-driven tech companies, with some production experience across AI Engineering products


• Strong verbal and written skills to communicate effectively with internal and external professionals


• Extremely detail-oriented and organized with a proven ability to work well in a high-intensity environment to complete tasks quickly and effectively


• Strong analytical and problem solving skills


• Knowledge of software architecture practices


• Working knowledge of frontend requirements


• Agile development experience

Entera is proud to be an equal opportunity employer (EEO) that celebrates difference and diversity. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We are committed to building an inclusive work environment where all employees feel a sense of belonging and respect. If there is anything we can do to ensure you have a comfortable and positive interview experience, please let us know.

Entera is proud to be an equal opportunity employer (EEO) that celebrates difference and diversity. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We are committed to building an inclusive work environment where all employees feel a sense of belonging and respect. If there is anything we can do to ensure you have a comfortable and positive interview experience, please let us know.

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