Turing - Fullstack Product Engineer
Requirements
• 8+ years of software engineering experience with demonstrated ability to deliver features end-to-end across backend and frontend. • Strong proficiency in Python and Java, with sound architectural instincts (when to build vs. reuse, how to decompose services, when to simplify). • Fluency with modern AI development tools (Claude Code, MCP servers, LLM APIs) and an ability to use them productively while maintaining quality and correctness. • Experience working directly with business stakeholders—not just taking tickets, but shaping requirements and validating solutions. • The business context to make the right tradeoffs: you understand that technical decisions have business consequences and vice versa. • Strong communication skills: you can explain technical decisions to non-technical partners and advocate for engineering quality without creating friction. • A builder’s mindset: you prefer shipping working software over perfecting designs, while maintaining the quality bar for production systems. • Experience in financial services, investment management • Familiarity with Vue.js or a modern frontend framework (React acceptable if you can ramp quickly on Vue). • Experience with event-driven architecture, workflow orchestration, or data pipeline design. • A track record of building internal tools or platforms that make other teams more productive. • Location: New York, New York
Responsibilities
• Own features end-to-end: from discovery and requirements shaping through architecture, implementation, testing, and production deployment. • Partner directly with business stakeholders to understand workflows, pain points, and desired outcomes—then translate that into well-scoped, deliverable solutions. • Make sound architectural decisions: choose the right patterns, data models, and integration approaches based on business context and technical tradeoffs. • Build across the stack: backend services (Java/Spring), frontend components (Vue.js), API contracts, and data integrations. • Leverage modern AI development tools (Claude Code, MCP, LLM APIs) to accelerate delivery—prototyping, code generation, analysis, and testing—while maintaining strong engineering judgment and validation. • Contribute to platform quality: code reviews, testing discipline, observability, and documentation where it adds leverage. • Mentor mid-level engineers through design conversations, pairing, and code review—raising the team’s ability to deliver independently. • Navigate ambiguity: make pragmatic decisions with incomplete information and adjust course as understanding deepens.
Benefits
• Values • Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. • We are client first • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. • We are AI forward: • Advantages of joining Turing • Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) • Flexible working hours
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