Mid Level Full Stack Developer

Company Intelligence

This Indeed listing matches a startup in commercial real estate automation, likely early-stage given direct collaboration with the founder on product roadmap and infrastructure. No specific company name is provided, indicating a small, agile team (size unspecified but implied <50 via founder involvement). Industry position: Niche player in proptech, focusing on AI-powered tools for back-end systems, Office integrations, and automation (e.g., vectorization, RAG). Recent news/growth: None detailed; emphasis on high-impact, production-ready features suggests rapid scaling in AI/document parsing. Culture/work environment: Collaborative, independent remote work with core team; flexible full-time/part-time/contract options (20-50 hours/week). Values/mission: Innovation in next-gen real estate automation, prioritizing scalability, reliability, and founder-level influence on architecture/UX. Office locations/hybrid policies: 100% remote, no physical offices mentioned.

Program Deep Dive

Not structured as a formal internship/graduate program; this is a mid-level contract/full-time role open to experienced contributors, but flexible hours suit students/recent grads building portfolios. Timeline: Ongoing/project-based, no fixed start/end; ship features iteratively. Skills/competencies: Python/C# proficiency, API design, cloud architecture (Azure preferred), Excel add-ins/Office JS APIs/VBA; plus AI frameworks (OpenAI, LangChain, document parsing). Daily responsibilities: Build/maintain back-end services/APIs, develop Office integrations (Excel/Word/PowerPoint), optimize performance/scalability, collaborate on AI features/workflows. Learning opportunities: Direct founder mentorship on high-impact projects, influence product direction in early-stage startup. Career progression: Equity for long-term contributors; potential full-time conversion based on performance.

Application Success Guide

Requirements: Proven Python/C# experience, API/cloud skills, Office add-ins; AI familiarity a plus; excellent independent communication. Deadlines: None specified—apply immediately via Indeed or direct employer contact. Step-by-step process:

1. Submit resume/portfolio via Indeed link;
2. Highlight specific projects in Python/C#/APIs/Office tools;
3. Expect technical screening (code samples);
4. Interview with founder on real estate automation fit. Common interview questions: "Walk through a Python/C# API you've built"; "How would you integrate AI (e.g., RAG) into Office add-ins?"; "Describe optimizing scalable back-end services." Assessments: Likely code review or live coding on Azure/Excel integrations; no formal case studies noted. Standout candidate: Portfolio with real estate/AI prototypes, Azure demos, or VBA macros; quantify impact (e.g., "Reduced processing time 40% via vectorization").

Insider Tips

Company values hands-on builders who ship independently—emphasize self-starter examples over team roles. Technical skills prioritized (80/20 split): Master Python/C#/APIs/Azure/Office JS; soft skills secondary (communication for remote founder sync). Demonstrate industry knowledge: Commercial real estate pain points (e.g., document automation, data handling in deals). Questions to ask: "How does this role shape the AI roadmap for real estate clients?"; "What equity vesting looks like for top performers?"; "Current tech debt in Office integrations?" Red flags: Generic resumes without code samples; claiming "mid-level" without 1-2 years Python/C# projects; poor async communication in follow-ups.

Practical Information

Salary/stipend: $100K–$150K annualized (hourly/project-based, up to $200K); equity potential. Benefits: Not detailed—focus on flexibility/equity over perks; similar remote roles offer 401(k), PTO, health (not confirmed here). Start dates/duration: Immediate, flexible (20-50 hours/week, contract/project). Networking: Direct founder access builds strong references; alumni via proptech communities (e.g., LinkedIn real estate AI groups); leverage for future startup roles. Actionable advice: Build a quick GitHub demo (Python Excel add-in with LangChain) before applying—tailor to real estate docs for 2x callback odds.