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- Tasks: Design and deploy AI-driven solutions for a high-priority customer.
- Company: Auquan is an innovative AI company transforming financial services with ESG data insights.
- Benefits: Enjoy competitive salary, equity package, flexible PTO, and travel opportunities.
- Why this job: Join a dynamic team redefining AI in finance and accelerate your career trajectory.
- Qualifications: Proficiency in Full Stack Development and 4+ years of CS experience required.
- Other info: Work in NYC or London with the chance to impact real-world challenges.
The predicted salary is between 80000 - 120000 £ per year.
Join to apply for the Product Engineer role at Auquan
About The CompanyAuquan 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 RoleThis 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.
What You\’ll Do
Take ambiguous workflow requests and turn them into scoped, architected, implemented, and deployed multi‐agent systems
Build reliable multi‐step, multi‐agent workflows used in production by financial institutions
Own reliability, latency, success metrics, and customer adoption
Work directly with customer engineering teams to deliver smooth deployments
Convert bespoke workflows into reusable platform primitives and components
Build orchestration logic, tools, templates, and pipelines used across engineering pods
Ship V1s in days, operate with high agency, tight prioritisation, and strong defaults
Identify patterns across customers and turn them into reusable systems
Influence architecture and direction of core platform components
Use AI for coding, testing, debugging, workflow design, and documentation
Build evals, safety nets, and AI‐native engineering workflows
Who You Are
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
Team & CultureHigh‐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.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with AUQUAN LTD. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with AUQUAN LTD may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with AUQUAN LTD\’s Candidate Privacy Notice.
Seniority LevelNot Applicable
Employment TypeFull-time
Job FunctionEngineering and Information Technology
IndustriesSoftware Development
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Product Engineer employer: Auquan
Contact Detail:
Auquan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer
✨Tip Number 1
Familiarise yourself with Auquan's mission and the specific challenges they aim to solve in the financial services sector. Understanding their focus on ESG data insights will help you tailor your conversations and demonstrate your genuine interest during interviews.
✨Tip Number 2
Network with current or former employees of Auquan on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Showcase your experience with AI technologies and full-stack development in practical scenarios. Be ready to discuss specific projects where you've implemented innovative solutions, as this aligns closely with the role's requirements.
✨Tip Number 4
Prepare to discuss how you would approach working with a single high-priority customer. Think about strategies for building strong relationships and delivering tailored solutions, as this is a key aspect of the Product Engineer role at Auquan.
We think you need these skills to ace Product Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Engineer position at Auquan. Tailor your application to highlight how your skills in full stack development and AI align with their needs.
Craft a Compelling CV: Your CV should clearly showcase your technical skills, particularly in Python and React, as well as your experience with LLMs. Include specific examples of projects where you've demonstrated leadership and innovation in engineering.
Write a Tailored Cover Letter: In your cover letter, express your passion for AI and innovation. Discuss why you're excited about the opportunity at Auquan and how you envision contributing to their mission of redefining ESG analytics.
Highlight Relevant Experience: When detailing your work history, focus on experiences that demonstrate your ability to take software from ideation to production. Mention any previous roles where you acted as a technical strategist or led engineering projects.
How to prepare for a job interview at Auquan
✨Showcase Your Technical Skills
As a Product Engineer, you'll need to demonstrate your proficiency in Full Stack Development, particularly with Python and React. Be prepared to discuss your past projects and how you've applied these technologies to solve real-world problems.
✨Emphasise Your Passion for AI
Auquan is all about innovation in AI. Make sure to express your enthusiasm for AI technologies and how you envision their application in financial services. Share any relevant experiences or projects that highlight your interest in this field.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Practice articulating your thought process when tackling complex problems, especially those related to AI and automation. This will showcase your ability to innovate on the fly.
✨Demonstrate Leadership Qualities
Since the role involves acting as a mini-CTO, it's crucial to exhibit leadership skills. Discuss instances where you've taken ownership of projects, led teams, or made strategic decisions that positively impacted outcomes.
