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Full Stack Ai Engineer Jobs in Ridgewood, NJ (NOW HIRING)

MLabs

Full Stack AI Engineer

New York, NY · On-site

$140K - $200K/yr

Remote/Hybrid Full-time Compensation: $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI ...

MLabs

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote/Hybrid | Full-time Compensation: $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY · On-site

$110/hr

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY

$110/hr

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY · On-site

$110/hr

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Walter

Full Stack Engineer - AI

New York, NY · On-site +1

The team consists of highly talented AI engineers, Full-stack Engineers, product managers, and designers focused on pushing the boundaries of what AI can deliver to end users. General information ...

Walter

Full Stack Engineer - AI

New York, NY · On-site

The team consists of highly talented AI engineers, Full-stack Engineers, product managers, and designers focused on pushing the boundaries of what AI can deliver to end users. General information ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Ridgewood, NJ

Full Stack Ai Engineer information

See Ridgewood, NJ salary details

$45K

$136.4K

$192.7K

How much do full stack ai engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for full stack ai engineer in Ridgewood, NJ is $136,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $159,900.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What job categories do people searching Full Stack Ai Engineer jobs in Ridgewood, NJ look for? The top searched job categories for Full Stack Ai Engineer jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Full Stack Ai Engineer jobs? Cities near Ridgewood, NJ with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you

Full Stack AI Engineer

MLabs

New York, NY • On-site

$140K - $200K/yr

Full-time

Posted 16 days ago

Job description

Location: Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap.
Remote/Hybrid Full-time
Compensation: $140K - $200K
We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.
In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.
Key Responsibilities
Full-Stack Product Development
  • Architecture & Maintenance: Architect, develop, and maintain end-to-end applications powering AI-driven financial products.
  • Backend & APIs: Build scalable backend services and APIs that support intelligent workflows and automated decision-making.
  • UI Development: Create intuitive, high-performance user interfaces that surface complex insights and enable interactive experiences.
  • Real-Time Systems: Design systems that support real-time communication between users, data sources, and AI components.

AI & Data Integration
  • Cross-Functional Collaboration: Partner with research and machine learning teams to integrate AI capabilities into production environments.
  • Data Pipelines: Implement and maintain pipelines that ingest, process, and manage structured and unstructured financial data.
  • Operationalization: Support the deployment and operationalization of AI-powered features and workflows.

Engineering Excellence
  • Standards & Reliability: Establish testing, observability, monitoring, and reliability standards across applications and services.
  • Optimization: Optimize system performance, scalability, and maintainability.
  • Technology Evaluation: Evaluate and adopt emerging technologies across AI, software engineering, and financial infrastructure.

Continuous Learning
  • Industry Trends: Stay informed on developments in large language models, agent frameworks, financial technologies, and modern web architectures.
  • Best Practices: Contribute to technical discussions and help shape engineering best practices across the organization.

Requirements
Required Qualifications
  • Experience: 5+ years of professional experience building full-stack applications.
  • Backend Expertise: Strong programming experience with Python, including modern API frameworks such as FastAPI. Advanced proficiency in JavaScript and TypeScript, with extensive experience developing applications using Node.js.
  • Frontend Expertise: Advanced proficiency in React for building user interfaces.
  • System Design: Demonstrated success building scalable web platforms, APIs, and backend services, alongside a strong understanding of both relational and non-relational database technologies.
  • AI & Agent Architecture: Deep knowledge of prompt design, tool-calling architectures, Model Context Protocol (MCP), and agent orchestration patterns. Experience deploying and operating AI agents or autonomous workflow systems in production environments.
  • Information Retrieval: Experience building embedding pipelines, semantic retrieval systems, and advanced search capabilities. Familiarity with vector search technologies, retrieval-augmented generation (RAG), and asynchronous application patterns.
  • AI Frameworks: Hands-on experience developing solutions using large language models and AI orchestration frameworks (e.g., LangChain or comparable technologies).
  • Domain Knowledge: Experience working with financial datasets, market data, or financial service APIs.
  • Professional Attributes: Ability to operate comfortably in fast-moving environments with significant autonomy and ownership.

Preferred Qualifications
  • Location: Located in the United States, Latin America, or Europe, with flexibility to collaborate across time zones.
  • Performance Tuning: Strong understanding of application profiling, scalability optimization, and performance tuning.
  • Track Record: A history of success within high-growth, collaborative engineering organizations.
  • Digital Assets: Exposure to blockchain infrastructure, smart contracts, decentralized finance (DeFi), or digital asset ecosystems.

Benefits
  • Competitive compensation package.
  • Opportunity to work at the intersection of cutting-edge AI and digital asset markets.
  • Highly autonomous and collaborative work environment.
  • Remote-friendly flexibility across eligible regions.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

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