Product Engineer

Auquan Ltd • New York, NY

107d • $170,000 - $200,000 • Onsite

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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 Bonus
• Equity: Meaningful stock options so you share in our growth
• Time Off: Flexible PTO
• Health & Wellbeing: Comprehensive health coverage (US)
• Retirement: 401(k) options depending on jurisdiction

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed