Build and own production AI-powered products across the frontend, backend, data, and cloud stack. Design multi-agent systems and RAG pipelines, orchestrate AI workflows, and deploy reliable, scalable features. Responsibilities include model serving, latency and cost optimization, prompt engineering, model evaluation, cloud infrastructure, and end-to-end product development using React, Node.js, PostgreSQL, and major cloud platforms.
This is a remote position.
We are hiring a Fullstack Software Engineer with deep experience building AI-powered products in production. This is a high-ownership role at the intersection of fullstack engineering, AI systems design, and product thinking. You will not simply integrate APIs. You will architect multi-agent systems, design RAG pipelines, and take AI features from concept to production with full accountability for system reliability, performance, and cost.
You will work across the entire stack (frontend, backend, data, and cloud infrastructure) and operate as a product-minded engineer who drives outcomes, not just ships code. You will collaborate directly with Product Owners, Subject Matter Experts, and cross-functional teams to translate ambiguous requirements into production-ready solutions.
If you thrive in ambiguity, care deeply about outcomes over output, and want to shape how AI is built into real products, this role is for you.
Responsibilities
Fullstack Product Development
- Own features end-to-end: from UI (React/Next.js) through API design (Node.js/NestJS) to cloud deployment.
- Partner with Product Owners and Subject Matter Experts to translate requirements into shipped solutions.
- Contribute product ideas that improve usability, performance, and business impact.
AI Engineering and Systems Design
- Design and build multi-agentic systems where autonomous AI agents collaborate to solve complex, real-world task
- Architect and implement RAG pipelines using vector databases and LLM orchestration frameworks.
- Take AI-powered features from prototype to production, owning model serving, latency optimization, cost management, and system reliability.
- Work with AI SDK, LangGraph/LangChain, CrewAI, or equivalent tools to build and orchestrate AI workflows.
Cloud Infrastructure and Deployment
- Design, deploy, and manage scalable systems on cloud platforms (AWS, GCP, or Azure).
- Apply cloud-agnostic thinking: understand core concepts regardless of provider.
Requirements
Minimum Qualifications:
- 3-5+ years of professional experience building production applications with React/Next.js, Node.js/NestJS, and PostgreSQL.
- Hands-on experience with at least one of: AI SDK (Vercel), LangGraph/LangChain, or CrewAI.
- Proven track record designing, orchestrating, and deploying multi-agent AI systems in production.
- Working experience with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG pipeline design.
- Strong understanding of AI deployment and system design: model serving, latency optimization, cost management, and production reliability.
- Experience with prompt engineering, model selection, and evaluation.
- Solid understanding of cloud concepts and services across AWS, GCP, or Azure.
- Experience deploying and managing production workloads in at least one major cloud platform.
Similar Jobs
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Deliver and configure Microsoft Dynamics 365 Business Central implementations for manufacturing and distribution clients, including complex configurations, development, integrations, requirement gathering, functional and technical design, solution recommendations, data management, and use of ERP implementation standards. Support R&D and client-facing delivery initiatives, ensuring clear communication and project execution.
Top Skills:
ErpMicrosoft Dynamics 365 Business Central
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage audit engagements, oversee team operations, ensure GAAP compliance, provide guidance on accounting matters, and participate in business development.
Top Skills:
CcifpCpaFasb Accounting StandardsGaap
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads complex tax engagements and strategic advisory services for construction clients, including contractors, developers, and related entities. Oversees multi-state compliance, long-term contract accounting, entity structuring, tax planning, client relationships, engagement quality, profitability, and business development. Mentors tax professionals, supports practice growth, and advises business owners and executives on tax-saving opportunities and emerging legislation.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
