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Job Description

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 engineering and product teams growing across the US and UK, we’re building an elite force of innovators ready to redefine what’s possible with AI and machine learning.

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.

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- engineering workflows

Must haves:

Degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in Python Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. Strong problem-solving abilities and attention to detail. Ownership mindset capable of shipping end-to-end features with minimal oversight. Excellent communication skills and collaborative attitude. Team-oriented, low-ego mindset and curiosity for learning.

Nice to haves:

Front-end development (Typescript, React, NextJS...) or full-stack exposure 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 & 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 are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.