Senior Software Engineer

QSentia | AI Investment Intelligence Platform
Founding Team | Pre Seed | Remote | Equity Based Initially

About QSentia

QSentia is building an AI powered investment intelligence platform for family offices, RIAs, wealth managers, hedge funds, brokerages, and institutional investors. Our platform combines proprietary reinforcement learning, adaptive portfolio risk management, explainable AI, model observability, and institutional grade monitoring across equities, futures, digital assets, and multi asset strategies.

Unlike traditional investment platforms focused primarily on market data or trading signals, QSentia is building the infrastructure professional investors need to evaluate, deploy, monitor, and govern AI driven investment models. Our long term vision is to become the trusted AI infrastructure powering the next generation of investment management.

About the Role

We are seeking an experienced Senior Software Engineer to join QSentia's founding engineering team and help build the technology infrastructure behind our AI investment platform.

This is a highly technical, high ownership role for an engineer who enjoys building complex systems from the ground up. You will work across backend services, APIs, financial data infrastructure, AI model integration, broker connectivity, cloud infrastructure, security, and selected frontend capabilities.

Experience within financial services, fintech, capital markets, investment management, brokerage technology, or quantitative trading is strongly preferred.

You will work directly with the Founder, CTO, Head of Quantitative Development, quantitative researchers, and machine learning engineers.

What You Will Build

You will help develop the core technology that connects QSentia's quantitative models to professional investment workflows, including model deployment infrastructure, portfolio analytics, financial data pipelines, APIs, risk systems, monitoring, and eventually broker and execution integrations.

The objective is to transform sophisticated quantitative research into a secure, scalable, reliable product that institutional customers can use every day.

Key Responsibilities

• Design and build scalable backend services for QSentia's investment platform

• Develop secure REST and event driven APIs for models, portfolios, analytics, and external integrations

• Build infrastructure for deploying and serving machine learning and reinforcement learning models

• Develop real time and batch financial data pipelines

• Integrate market data from equities, futures, options, digital assets, news, and macroeconomic sources

• Build integrations with brokerages, exchanges, custodians, and other financial technology providers

• Develop portfolio, position, order, transaction, and account management services

• Build model telemetry, observability, logging, alerting, and audit infrastructure

• Develop systems for portfolio risk monitoring and investment analytics

• Build authentication, authorization, encryption, secrets management, and enterprise security controls

• Design reliable databases and data models for financial and investment data

• Build asynchronous and distributed processing systems for model inference and financial workflows

• Improve platform reliability, performance, scalability, and fault tolerance

• Develop automated testing, CI and CD pipelines, deployment workflows, and infrastructure automation

• Collaborate with quantitative researchers to productionize research code

• Work with machine learning engineers to integrate AI models into production applications

• Participate in architecture decisions and technical roadmap development

• Help establish QSentia's engineering standards and eventually mentor additional engineers

Required Experience

• 7 or more years of professional software engineering experience

• Advanced Python experience

• Strong backend engineering experience

• Experience designing production APIs and microservices

• Strong knowledge of SQL and relational databases such as PostgreSQL

• Experience with cloud infrastructure, preferably AWS

• Experience with Docker and containerized applications

• Strong understanding of distributed systems and asynchronous processing

• Experience building secure production applications

• Strong understanding of software architecture, testing, version control, and CI and CD

• Ability to take ambiguous requirements and independently design production quality solutions

Financial Experience Preferred

We strongly prefer candidates who have built technology within:

• Hedge funds

• Asset managers

• Investment banks

• Quantitative trading firms

• Proprietary trading firms

• Brokerages

• Exchanges

• Wealth management platforms

• Financial data providers

• Fintech companies

Experience building trading systems, portfolio management systems, order management systems, execution platforms, risk systems, financial data infrastructure, or investment analytics would be particularly valuable.

What We Offer

• Founding engineering team opportunity

• Meaningful equity ownership

• Direct influence over QSentia's technical architecture

• Opportunity to build sophisticated AI and financial technology from the ground up

• Work directly with quantitative researchers and AI engineers

• High ownership and autonomy

• Remote first environment

• Opportunity to help build a category defining AI investment technology company

Compensation

This position is initially equity based while QSentia completes its pre seed financing. Cash compensation will be introduced following financing and will be based on experience, responsibilities, and market benchmarks.

QSentia is building AI that professional investors can trust with real capital. We are looking for engineers who want to build the infrastructure that makes that possible.