Company Overview
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million.
About The Role
In this role, you will own and drive large portions of our AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, and evaluation frameworks. You will be responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure — while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines.
Key Responsibilities
- Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome).
- Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
- Ensure scalability, performance, and security across the stack.
- Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
- Create data pipelines for AI model training, evaluation, and continuous improvement.
- Mentor junior developers and promote engineering best practices.
Required Qualifications
- 5+ years of professional software engineering experience.
- Hands‑on experience building and deploying AI applications in production environments.
- Strong backend development skills (Python preferred).
- Solid understanding of relational databases.
- Experience with Git and collaborative development workflows.
- Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Strong problem‑solving skills and a passion for building great products.
- Experience implementing background workers and task queues (Celery, RQ, etc.).
- Proficiency with Redis for caching, pub/sub, or job queues.
- Experience implementing RAG pipelines, AI agent orchestration, and performance monitoring.
- Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.
What We Offer
- You will be reporting directly to the founders, who have two successful venture‑backed exits under their belt.
- Competitive salary + equity.
- Supportive and innovative work environment.
- Opportunity to help shape and build a generational company.
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.
#J-18808-Ljbffr”, “datePosted”: “2026-03-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Model ML”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__390579074__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company Overview
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million.
About The Role
In this role, you will own and drive large portions of our AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, and evaluation frameworks. You will be responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure — while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines.
Key Responsibilities
- Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome).
- Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
- Ensure scalability, performance, and security across the stack.
- Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
- Create data pipelines for AI model training, evaluation, and continuous improvement.
- Mentor junior developers and promote engineering best practices.
Required Qualifications
- 5+ years of professional software engineering experience.
- Hands‑on experience building and deploying AI applications in production environments.
- Strong backend development skills (Python preferred).
- Solid understanding of relational databases.
- Experience with Git and collaborative development workflows.
- Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Strong problem‑solving skills and a passion for building great products.
- Experience implementing background workers and task queues (Celery, RQ, etc.).
- Proficiency with Redis for caching, pub/sub, or job queues.
- Experience implementing RAG pipelines, AI agent orchestration, and performance monitoring.
- Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.
What We Offer
- You will be reporting directly to the founders, who have two successful venture‑backed exits under their belt.
- Competitive salary + equity.
- Supportive and innovative work environment.
- Opportunity to help shape and build a generational company.
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.
#J-18808-Ljbffr…