Lead Full Stack Developer

Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google.

Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen.

Role Overview

We are looking for a Lead Full Stack Developer

Key Responsibilities

• Lead architectural design and technical strategy for SaaSquatchLeads.com.
• Develop, deploy, and maintain

  end-to-end features

  spanning frontend, backend, and AI integrations.
• Implement and optimize

  AI-driven services

  for lead scoring, personalization, and predictive analytics.
• Build and maintain

  data pipelines

  for ingesting, processing, and analyzing large datasets.
• Mentor and guide a distributed engineering team, setting

  best coding practices

  .
• Collaborate with product, design, and data science teams to align technical execution with business goals.
• Ensure

  security, performance, and scalability

  of the platform.

Required Skills & Technologies

• Frontend:

  React, JavaScript (ES6+), TypeScript, Redux/Zustand, HTML, CSS, TailwindCSS.

• Backend:

  Python (Flask, FastAPI, Django), Node.js (bonus).

• AI & Data Science:

  Python, PyTorch, Hugging Face, OpenAI APIs, LangChain, Pandas, NumPy.

• Databases:

  PostgreSQL, MySQL, MongoDB, Redis.

• DevOps & Infrastructure:

  Docker, Kubernetes, AWS (Lambda, S3, RDS, EC2), CI/CD pipelines.

• Data Processing:

  ETL tools, message queues (Kafka, RabbitMQ).

• Search & Indexing:

  Elasticsearch, Meilisearch (for fast lead lookups).