AI Applied Engineer - New York

Job Description 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 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. Job Requirements Must-Haves 4+ years of software development in fast-paced, product-focused environmentsOwned a subsystem or workflow end-to-end (requirements → architecture → implementation → launch)Strong Python fundamentals; think in primitives, patterns, and systemsAlready use AI to automate work or build LLM-powered workflowsComfortable translating customer ambiguity into crisp technical solutionsAble to unblock yourself through learning, experimentation, and AI toolsThrive under tight deadlines, high expectations, and minimal processYou'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 workflowsExperience with financial workflows (credit, investment, ESG, risk)Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability)Experience at early-stage startupsBuilt internal frameworks, tooling, or templates used by multiple teamsExperience with evals, guardrails, or workflow orchestration systems Job Responsibilities Take ambiguous workflow requests and turn them into scoped, architected, implemented, and deployed multi-agent systemsBuild reliable multi-step, multi-agent workflows used in production by financial institutionsOwn reliability, latency, success metrics, and customer adoptionWork directly with customer engineering teams to deliver smooth deploymentsConvert bespoke workflows into reusable platform primitives and componentsBuild orchestration logic, tools, templates, and pipelines used across engineering podsShip V1s in days, operate with high agency, tight prioritisation, and strong defaultsIdentify patterns across customers and turn them into reusable systemsInfluence architecture and direction of core platform componentsUse AI for coding, testing, debugging, workflow design, and documentationBuild evals, safety nets, and AI-native engineering workflows Job Benefits We are an office-first company and expect regular in-person collaboration as part of this role. You should also be comfortable collaborating across time zones (US, UK, India). We offer a competitive package designed to support you both inside and outside of work: Base Salary: $170,000 - $200,000 for New York. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.Performance BonusEquity: Meaningful stock options so you share in our growthTime Off: Flexible PTOHealth & Wellbeing: Comprehensive health coverage (US)Retirement: 401(k) options depending on jurisdiction Salary 140000 - 200000 USD (yearly)