Backend Software Developer

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

Design, build, and maintain backend services using Java (Spring Boot) and Python

Develop scalable APIs and microservices for data-intensive applications

Optimize system performance, reliability, and scalability

Design efficient data models and handle complex integrations

AI & Intelligent Systems

Implement and integrate AI-powered features into core products

Design and build agent-based workflows for automation and decision-making

Apply prompt engineering techniques to improve LLM outputs and behavior

Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)

Build resilient, scalable cloud-native services

Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

Contribute to architecture, service boundaries, and system design decisions

Write clean, maintainable, and well-documented code

Ensure security, performance, and operational stability

Continuously improve engineering quality and development practices

Collaboration

Work closely with frontend, product, and AI teams

Contribute to end-to-end feature delivery

Participate in Agile development processes

Requirements

5+ years of backend software development experience

Strong experience building and scaling backend systems in production

Core Technical Skills

Strong experience with Java and Spring Boot

Solid experience with Python

Strong knowledge of SQL and database design (PostgreSQL preferred)

Experience building REST APIs, microservices, and distributed systems

Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)

Proficiency with Git and modern development workflows

AI & Modern Development Experience

Experience with prompt engineering for LLM-based systems

Practical experience building AI agent workflows in production

Familiarity with frameworks/tools such as:LangGraph

LangChain

LangSmith

or similar ecosystems

Experience using AI-assisted development tools, such as:Claude Code

Codex

OpenCode

or similar

Nice to Have

Experience with vector databases or semantic search (e.g., Milvus)

Knowledge of RAG (Retrieval-Augmented Generation) architectures

Experience with CI/CD pipelines and DevOps practices

Familiarity with event-driven architecture

Experience with data processing pipelines or document AI systems

Why Join Us

Work on cutting-edge AI-powered systems in a $17T industry

Build real-world applications using LLMs, agents, and automation

High ownership and autonomy with meaningful technical impact

Opportunity to influence system design and engineering direction

Fast-moving, execution-focused team with minimal bureaucracy

Competitive compensation and flexible work environment