At a Glance
- Tasks: Design and build AI systems that automate financial workflows for top firms.
- Company: Join Auquan, a leader in AI innovation for the finance sector.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced, innovative culture with a focus on autonomy and collaboration.
- Why this job: Make a real impact by redefining finance with cutting-edge AI technology.
- Qualifications: 4+ years in software development and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
About the company
Auquan develops autonomous AI agents that eliminate the repetitive, manual work slowing down financial institutions. Our technology supports credit, investment, ESG, and compliance workflows for leading firms including Goldman Sachs, UBS, CVC, and MetLife. Today, 40% of the world’s top 50 financial institutions use Auquan to remove manual processes, speed up decision-making, and achieve greater strategic impact. With teams growing across the US, UK, and India, we’re building an elite force of innovators ready to redefine what’s possible with AI and machine learning.
About the role
This role sits at the intersection of systems architecture, agentic AI workflows, and customer-facing problem solving. You’ll design multi-agent systems, build reusable primitives, and convert complex financial workflows into scalable automated products. You’ll work directly with leading investment firms and own the lifecycle of every agent you build—from design to reliability, deployment, and scale.
Team & Culture
High-agency, high-velocity, no-politics. We move fast, unblock ourselves, work directly with customers, give clear feedback, and minimise process. We’re building the platform that automates analytical work across finance — a category-defining opportunity. If you want to own meaningful outcomes, build high-leverage AI systems, and move faster than almost anywhere else, you’ll fit right in.
Requirements
- Must-Haves
- 4+ years of software development in fast-paced, product-focused environments
- Owned a subsystem or workflow end-to-end (requirements → architecture → implementation → launch)
- Strong Python fundamentals; think in primitives, patterns, and systems
- Already use AI to automate work or build LLM-powered workflows
- Comfortable translating customer ambiguity into crisp technical solutions
- Able to unblock yourself through learning, experimentation, and AI tools
- Thrive under tight deadlines, high expectations, and minimal process
- You'll have a solid grasp of our tech stack: Python, React / NextJS, Fast API, MongoDB, Redis
- Nice-to-Haves
- Built or orchestrated multi-step LLM or agentic workflows
- Experience with financial workflows (credit, investment, ESG, risk)
- Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability)
- Experience at early-stage startups
- Built internal frameworks, tooling, or templates used by multiple teams
- Experience with evals, guardrails, or workflow orchestration systems
AI Applied Engineer - London employer: Auquan
Auquan is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the AI-Driven Multi-Agent Systems Engineer role. With a hybrid working model in vibrant cities like London or New York, employees benefit from collaborative projects with top investment firms, ample opportunities for professional growth, and the chance to make a significant impact in the financial sector through cutting-edge technology.
