We are building an AI tool that speeds up financial due diligence for investors and advisors.

Team:

• Chaz: Founder of Fat Llama (YC S17) - Acquired by Hygglo. Responsible for Business and Sales.
• Arns: Founder of Fancy (YC S20) - Acquired by Gopuff. Responsible for Tech and Product.

Model ML is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. You will work alongside two well-known founders who successfully sold their last two YC-backed companies. Model ML, has already raised double figures from Y Combinator and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, Model ML's team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.

Soon, all your digital information will be stored in one place. Everything you do, whether that be sending emails, building presentations, having meetings, pulling data, or doing research, will all be underpinned by an AI model that belongs to you. Using Model ML, you'll simply talk to your laptop or phone to get things done.

About the role

As a Senior Backend Engineer at Model ML, you'll be at the forefront of building and scaling the infrastructure that powers our our product. You'll design and implement robust, high-performance backend systems that handle complex data pipelines, enable seamless AI model deployment, and ensure enterprise-grade security and compliance for our financial services clients. Working closely with machine learning engineers, product teams, and infrastructure specialists, you'll architect scalable solutions that process sensitive financial data with precision and reliability. This role offers the opportunity to tackle unique technical challenges at the intersection of AI and finance, where your work will directly impact how financial institutions leverage artificial intelligence to transform their operations. You'll drive technical decisions, mentor junior engineers, and help shape the engineering culture as we scale our platform to serve the world's leading financial organisations.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs that power Model ML's AI workspace platform
• Build and optimize data pipelines for processing large-scale financial datasets with high accuracy and performance
• Implement robust security measures and ensure compliance with financial industry regulations (SOC 2, GDPR, FCA requirements)
• Collaborate with ML engineers to productionize machine learning models and integrate them into backend systems
• Optimize database schemas and queries for high-throughput, low-latency operations across distributed systems
• Lead technical design reviews and mentor junior and mid-level engineers
• Monitor system performance, troubleshoot production issues, and implement solutions to improve reliability and uptime
• Contribute to engineering best practices, code quality standards, and technical documentation

Required Qualifications

• 7+ years of professional backend engineering experience with a proven track record of building and scaling production systems
• Expert-level proficiency in Python and modern web frameworks, particularly FastAPI (or similar frameworks like Flask or Django)
• Deep understanding of relational databases, especially PostgreSQL—including query optimisation, indexing strategies, and performance tuning
• Proven experience scaling databases
• Strong knowledge of caching strategies and in-memory data stores, particularly Redis
• Hands-on experience with asynchronous task processing using Celery or equivalent distributed task queues
• Proficiency with message brokers and event-driven architectures (Azure Service Bus, RabbitMQ, Kafka, or similar)
• Solid understanding of RESTful API design principles and microservices architecture patterns
• Experience with cloud platforms (Azure preferred; AWS or GCP acceptable) and containerization technologies (Docker, Kubernetes)
• Strong knowledge of security best practices, authentication/authorization mechanisms, and data encryption
• Familiarity with CI/CD pipelines, automated testing, and version control systems (Git)
• Excellent problem-solving skills with the ability to debug complex distributed systems
• Strong communication skills and experience collaborating with cross-functional teams
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

What We Offer:

• You will be reporting directly to the founders, who have two successful venture-backed exits under their belt.
• Competitive salary + equity
• Performance-based incentives.
• Opportunity to be instrumental in our expansion into the APAC market.
• Supportive and innovative work environment.

What you can expect:

• It won't be easy; in fact, it will be very hard.
• BUT, it will be a lot of fun.
• You need to be comfortable with being uncomfortable; timelines will change, priorities will most likely shift.

To conclude, we're building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world, please apply.

Building on top of Open AI. AI expert desired but no essential. Front & backend skills bonus too.