Python Developer
ABOUT US
Smart Capital Center (https://www.smartcapital.center/) operates at the intersection of Generative AI, Finance, and Real Estate. Our platform digitizes, automates, and brings deep insight to every step of real estate investment and financing transaction
Job Summary
Are you a skilled Python Developer with a passion for scalable back-end architecture and interest in AI innovation? We're looking for a Python Engineer who not only thrives in back-end development but is also excited to contribute to cutting-edge AI-powered systems including large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.
In this role, you'll build high-performance APIs and services that power advanced AI pipelines and drive intelligent real estate automation. You’ll work closely with both engineering and AI teams, contributing to generative AI initiatives that are reshaping how $17 trillion of commercial property is analyzed and financed.
Key Responsibilities
- Develop and maintain robust, scalable back-end services using Python, ensuring performance, reliability, and maintainability.
- Design and implement RESTful APIs for seamless data exchange across systems.
- Work on integrations with AI and ML frameworks, including LangChain, LangGraph, and vector databases such as Milvus and Pinecone.
- Collaborate with AI engineers to support features involving LLMs, RAG, and graph-based AI architectures.
- Optimize data pipelines and API endpoints for latency, throughput, and scalability.
- Implement data storage solutions using relational, NoSQL, and vector-based databases.
- Troubleshoot, debug, and resolve back-end performance bottlenecks.
- Contribute to architecture design and code reviews with a focus on clean, modular, and well-tested code.
- Stay current with emerging technologies in AI, Python frameworks, and scalable cloud systems.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in Python back-end development.
- Proficient with frameworks such as Django, Flask, or FastAPI.
- Strong understanding of API architecture, REST principles, and microservices.
- Experience with databases like PostgreSQL, MongoDB, or Redis.
- Familiarity with vector databases such as Chroma, Pinecone, or Milvus.
- Comfortable working in cloud environments (AWS, Azure, or GCP).
- Experience using Git and working in Agile environments.
- Knowledge of Docker, and optionally Kubernetes, for containerization and orchestration.
- Strong communication, teamwork, and problem-solving skills.
Bonus / Preferred Qualifications
- Exposure to LLMs, Generative AI, RAG, or LangChain/LangGraph is a strong plus.
- Experience working on cross-functional teams involving AI/ML engineers or data scientists.
Understanding of AI inference optimization, model integration, or MLOps pipelines.
Why Join Us?
- Own and lead GenAI innovation that directly impacts our clients and business
- Collaborate with a visionary executive team to shape the AI roadmap
- Work on real-world AI challenges in a fast-moving, high-stakes domain
- Be part of a lean, agile team with zero bureaucracy and maximum impact
- Enjoy competitive compensation, remote flexibility, generous PTO, and continuous learning
Ready to lead cutting-edge AI innovation?
Join Smart Capital Center and help build the future of real estate and fintech