Back End Developer

Backend Developer

Location: Remote (CET hours, Mon–Fri, 9:00–18:00)

We’re building a next-generation Agentic Real Estate Platform that leverages AI agents to automate property management operations across leasing, maintenance, finance, and marketing. We’re looking for an experienced Django Backend Developer to design and scale backend systems, integrate complex APIs, and develop advanced AI-driven automation workflows.

Responsibilities

• Develop and maintain backend services using Django and Python.
• Build orchestration systems for AI agents handling leasing, collections, HR, accounting, and marketing tasks.
• Design, implement, and optimize complex third-party integrations (Yardi, AppFolio, Zillow, Apartments.com, etc.).
• Architect scalable APIs, real-time data streaming, and webhook/event-driven workflows.
• Optimize PostgreSQL databases for query performance, scalability, and multi-tenant SaaS use cases.
• Deploy and monitor applications on AWS with Docker, CI/CD, and load testing.
• Contribute to AI integration strategies, including prompt optimization, cost management, and error-handling.
• Ensure compliance with property management regulations and real estate workflows.

Required Qualifications

• 6+ years overall technical experience.
• 4+ years production experience with Django REST Framework.
• 2+ years working with AI APIs (OpenAI, Anthropic, or similar).
• Proven expertise with RESTful APIs, webhooks, and event-driven architecture.
• Advanced PostgreSQL knowledge (optimization, scaling).
• Strong experience with Docker, AWS (ECS, RDS, S3, Lambda, CloudFront), CI/CD pipelines.
• Hands-on experience with Celery, Redis, authentication systems (JWT, OAuth, RBAC).
• Strong debugging, error handling, and performance optimization skills.

Preferred Experience

• AI agent frameworks (LangChain or similar).
• ML model deployment/monitoring, NLP, or sentiment analysis.
• Workflow automation and process optimization.
• Property management or real estate software (Yardi, AppFolio, RentCafe).
• Financial integrations, reconciliation, or reporting systems.
• Microservices, SaaS, and multi-tenant architecture.
• Comfortable pitching in on frontend tasks when needed.

Tools & Practices

Git/GitHub or GitLab, agile development methodologies.

Testing frameworks (pytest, unittest).

Code quality tools (pylint, black, mypy).

What You’ll Build

• AI Agents: Real-time, scalable AI systems with human-in-the-loop escalation.
• Backend Services: High-performance property portfolio APIs, analytics engines, financial automation.
• Integration Ecosystem: Seamless third-party integrations (Yardi, marketing platforms, communication APIs).
• Application Requirements
• Portfolio demonstrating Django/Python expertise.
• Examples of AI integration or automation projects.
• Evidence of complex API integration work.
• (Preferred) Knowledge of property management workflows.

Hiring Process

Step 1: Application review.

Step 2: Live technical test (1 hour, camera on, screen-sharing).

Step 3: Interviews with engineering leadership.