Tech Lead Full-Stack Rails Engineer

About Mitre Media

Mitre Media is redefining FinTech with AI-driven tools that empower millions of investors. Our portfolio, including Dividend.com and MutualFunds.com, leverages LLMs to deliver novel data insights and visually rich user experiences. For over a decade, we’ve served individual investors, financial advisors, and top asset managers like BlackRock and Vanguard through our premium data, tools, and advertising solutions. Join our lean, entrepreneurial team to shape the future of AI-powered investing from your location ±3 hours from Eastern Time.

Our users are deeply engaged, spending over 5 minutes per visit with a bounce rate below 10%, researching investments across hundreds of different categories. With 40 million brokerage accounts in the U.S., we take pride in building tools that make a real impact, fostering a culture of trust, innovation, and dynamism. If you’re passionate about financial technology and AI, we’d love to connect!

About the Role

As a Full-Stack Rails Tech Lead, you’ll architect and implement LLM-powered web applications within our microservices-based Rails 8 platform. Reporting directly to our CTO, you’ll collaborate with a small, high-impact team to deliver user experiences across Dividend.com, MutualFunds.com and other brands within our portfolio. This role combines expert Ruby on Rails skills with AI integration expertise, requiring you to leverage LLMs in your development workflow, state management and user interactions.

You’ll work in a remote-first hybrid environment, which encourages in person collaboration, using ShapeUp to manage projects that trade-off on-time delivery for de-scoped outcomes. As a technical leader, you'll have a seat at the table shaping system architecture, implementing core features all while embracing an entrepreneurial mindset and a “get things done” mentality.

Responsibilities

Architect and maintain Rails applications (Rails 8)

Integrate LLMs into our microservices architecture for state management and real-time user experiences.

Enhance front-end experiences with Hotwire, StimulusJS, or React, ensuring seamless AI-driven interactions.

Optimize LLM inference for low latency and cost, using caching and asynchronous processing.

Required Technical Skills

Back-End

Ruby (5+ years, expert-level)

Ruby on Rails (Rails 6-8 preferred)

PostgreSQL (or MySQL)

Elasticsearch

Redis

Docker

Front-End

StimulusJS or JavaScript ES6

Tailwind CSS

HTML

HTTP

AI Integration

Experience integrating AI/ML models (e.g., LLMs, NLP) with web applications

Familiarity with LLM frameworks (e.g., LangChain, Hugging Face) or APIs (e.g., xAI, Anthropic)

Nice-to-Have Technical Skills

Kubernetes for microservices orchestration

React for advanced front-end components

Graph databases for complex financial data

Contributions to open-source