Founded in 2021, Equi is an investment manager and technology startup with a mission to become the leader in absolute return investment vehicles. We create value for investors by seeking positive, consistent returns across all market environments - whether markets are rising, falling or flat. Leveraging Wall Street expertise and Silicon Valley innovation, we're building both a multi-strategy hedge fund platform and AI-driven allocator platform to power our investment team and that of other capital allocators.

To that end we are looking for a highly motivated and experienced Senior or Staff Software Engineer with a strong product orientation and a drive to deliver impactful solutions. This role is specifically for someone that's fascinated by and interested in learning some of the most sophisticated investment strategies on earth.

This role sits at the intersection of AI engineering and application development. The ideal candidate will have strong experience in both those domains and be able to stitch them together. This engineer is expected to build RAG based intelligence, while building new customer facing applications on top of our data foundry.

Engineers in this role operate with significant autonomy, taking ownership of complex projects from ideation through to execution and iteration. They make critical technical decisions, architect scalable solutions, and collaborate closely with cross-functional teams (Investment Team, Sales, Operations). This is a chance to have a broad impact, tackle diverse technical challenges, and contribute significantly to a growing platform in the exciting fintech space. What You'll Do Customer-Facing Applications

Translate complex user needs and business requirements into well-architected, scalable, maintainable, and user-friendly full-stack applications. We use Typescript, Next.js, Python, and Postgres on GCP. Design, implement, and maintain performant and reliable APIs and backend services. Develop exceptional user experiences. AI engineering Ingest multi-formated investment data and parse it into both human and computer digestible formats. Use AI to perform investment analysis and provide recommendations to the human investment team. Use AI to build workflows to automate human actions in the investment process. General & Leadership (Emphasis increases at Staff Level) Exercise a high degree of autonomy, taking full ownership of complex features, systems, or product areas from conception to post-launch iteration. Collaborate effectively and communicate clearly with cross-functional partners at the company. Lead technical decision-making, architectural design discussions, and the establishment and promotion of engineering best practices. Proactively identify and advocate for process improvements and technology adoption. Who You Are

We are looking for candidates who possess a strong blend of technical depth, product intuition, and a proactive mindset. Required Experience: Minimum of 5 years (for Senior) or 8+ years (for Staff) of professional experience in software development, demonstrating progressive responsibility and impact. Full-Stack Proficiency: Proven track record of designing, building, deploying, operating, and maintaining complex full-stack web applications in production environments. Strong proficiency in Typescript, Next.js and Python. Data & Cloud Foundation: Solid understanding of data pipeline concepts (ETL/ELT) and data warehousing principles. Product Acumen: Demonstrated ability to think critically about product strategy, understand user needs and pain points, and effectively translate them into technical solutions. Autonomy & Action Orientation: Proven ability to work independently with minimal supervision, navigate ambiguity effectively and drive projects to completion with a strong sense of ownership and a bias for action. Collaboration & Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical ideas clearly to both technical and non-technical audiences. AI-driven engineering: Is competent in AI-driven engineering workflows and can use them to deliver effectively. Preferred/Bonus Points Prior experience working in the fintech, investment technology, or financial services sector. Specific experience designing and scaling large-volume data pipelines or complex distributed systems on GCP. Experiencing using containerization technologies like Docker and API middleware like GraphQL. Familiarity with advanced data modeling techniques. Defining Our Ideal Candidate: Key Traits in Action at Equi Engineering

Beyond technical skills, we seek engineers who embody specific traits that are crucial to our culture and success. These qualities are interconnected and define how we approach building impactful products. Product-Minded

We value engineers who look beyond the code to understand the bigger picture. A product-minded engineer at Equi is deeply curious about the 'why' - why are we building this feature? Who is it for? What problem does it solve? They actively engage with product managers and designers, offering thoughtful suggestions, challenging assumptions constructively, and proposing alternative approaches based on their technical insight and understanding of user needs. They excel at evaluating the tradeoffs between engineering effort and product impact, often leveraging data to support their perspectives, ensuring we build not just functional, but truly valuable solutions. High Autonomy

Trust is fundamental to our engineering culture, and we empower our engineers with significant autonomy. High autonomy at Equi means having the freedom to determine the best way to tackle complex problems and execute tasks within the scope of agreed-upon goals. Engineers who thrive here are self-starters, comfortable navigating ambiguity, proactively seeking information, and taking ownership of their work from end-to-end. This freedom comes paired with accountability; our engineers own their decisions and outcomes, learning and adapting from both successes and setbacks in a psychologically safe environment. Bias Toward Action

In the fast-paced world of fintech, speed and decisiveness matter. A bias toward action at Equi means valuing progress and learning through doing, rather than getting stalled by over-analysis or the pursuit of unattainable perfection. Engineers with this trait are adept at making calculated decisions, even with incomplete information, understanding that many choices are reversible and that iteration leads to better results. They proactively identify and remove roadblocks, break down large problems into manageable steps, readily experiment, and use feedback to adjust course quickly, ensuring we continuously deliver value to our customers. This proactive approach, enabled by autonomy and guided by a product mindset, is key to our innovation cycle.