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Popular AI role, metro hiring, and broad skill requirements drive high applicant competition.
Core LLM and engineering skills transfer widely, though PropTech experience is advantageous.
Explicit 0–2 year requirement plus specific LLM and coding skills make filtering moderately strict.
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Develop and enhance AI-powered applications in the Property Tech domain using large language models and agentic frameworks under senior engineer guidance.
Implement and optimize AI features such as conversational assistants, RAG pipelines, prompt engineering, and safety layers to improve reliability and reduce hallucinations.
Build front-end components and integrate AI APIs into backend services; conduct testing, evaluation, and observability tasks for AI features.
0-2 years experience in Software Engineering, Machine Learning, or Data Science (including internships/projects).
Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
Proficient in Python and JavaScript/TypeScript; familiarity with REST APIs, JSON, SQL, relational databases, Git, and CI/CD workflows.
Work Experience Required: 0-2 years including internships or projects.
Experience or exposure to LLM APIs, vector embeddings, RAG concepts, and LangChain/LlamaIndex through coursework, projects, or internships.
Ability to implement prompt engineering, function calling, and AI safety/guardrail layers to enhance AI feature reliability.
Comfortable collaborating in a cross-functional agile environment with engineers, data scientists, and product teams while learning and applying cutting-edge AI technologies.