Über
Role:
Backend Developer — Junior, Mid-Level, Senior
Location:
Hybrid in Irvine, CA; Houston, TX; Austin, TX
Remote Option:
Available for select roles on an hourly basis
Benefits:
Health benefits for eligible hybrid full-time employees, company equity, dynamic advanced research environment
About Arpshah / Doorviser
Arpshah is building an AI-driven real estate platform designed to transform how people search, analyze, list, and interact with property data. Doorviser is the platform’s Agentic AI layer, powering conversational search, semantic retrieval, intelligent matching, workflow automation, and AI-assisted user interactions across real estate use cases.
Our platform combines structured data, vector databases, multimodal systems, LLM-powered agents, and modern cloud infrastructure to create next-generation real estate technology.
Role Overview We are seeking Backend Developers from junior to senior level to help build the core infrastructure behind Doorviser and the broader Arpshah platform. This role focuses on scalable APIs, backend architecture, vectorization workflows, multimodal data structures, cloud services, and AI-driven platform development.
You will help develop systems for data ingestion, semantic retrieval, RAG pipelines, LLM integrations, agent workflows, and real-time application infrastructure.
Responsibilities
Design, build, and maintain scalable backend services and APIs
Develop data pipelines for structured and unstructured real estate datasets
Build vectorization and semantic retrieval workflows
Integrate vector databases such as Pinecone, Weaviate, or similar technologies
Support RAG pipelines, LLM integrations, and agentic AI services
Design efficient data models for multimodal AI applications
Build and maintain cloud-native services across GCP, Firebase, Cloudflare, and Vercel-connected systems
Improve system performance, scalability, observability, and reliability
Collaborate with frontend, full-stack, and AI engineers on production delivery
Contribute to GitHub-based CI/CD workflows and engineering best practices
Support rapid experimentation in startup and research-driven environments
Qualifications Junior
1+ years of backend development experience, internships, or strong project work
Familiarity with APIs, databases, and cloud systems
Exposure to Python, Node.js, TypeScript, Go, or similar backend languages
Strong interest in AI platforms, vector search, and modern cloud systems
Mid-Level
3+ years of backend engineering experience
Experience building scalable APIs and production backend systems
Familiarity with GCP, Firebase, distributed services, and serverless systems
Understanding of data pipelines, ETL, and backend architecture
Familiarity with vector search, embeddings, and LLM integrations
Senior
5+ years of backend or platform engineering experience
Experience architecting large-scale, production-grade backend systems
Strong understanding of AI application backends, retrieval systems, and multimodal data pipelines
Ability to lead architecture discussions, mentor engineers, and drive execution
Preferred Qualifications
M.S. or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related field
Preference for candidates from top universities such as
UT Austin, MIT, Stanford, UC Berkeley , or equivalent institutions
Preference for candidates with prior experience at
Google, Meta, Microsoft, Amazon , or comparable high-performance technology companies
Strong familiarity with vectorization, vector databases, multimodal data structures, deep learning, reinforcement learning, RAG, and agentic AI workflows
Experience building production AI systems in startup or advanced research environments
Employment Type
Hybrid full-time roles in Irvine, CA; Houston, TX; Austin, TX
Remote hourly roles available for select candidates
Benefits
Health benefits for eligible hybrid full-time roles
Company equity
Opportunity to work in a highly dynamic advanced research environment
Exposure to next-generation AI systems, vector search, multimodal AI, and real-world agentic workflows
Apply Please contact
hr@doorviser.com
with your resume, portfolio, GitHub, and a brief summary of your backend and AI systems experience.
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Sprachkenntnisse
- English
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