Senior Full Stack AI Engineer

Worky; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Worky is looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role focuses on delivering real products, not prototypes, and requires ownership from architecture to deployment.

You will develop scalable backend services, intuitive frontends, and AI-enabled features for real users, balancing fast delivery with long-term maintainability and safeguards. Strong product thinking and independent execution are essential.

Qualifications

• 5+ years of full-stack engineering experience.
• Backend: Node.js, Python, or similar.
• Frontend: React or similar modern frameworks.
• Experience building and consuming APIs and deploying on cloud platforms.
• Hands-on experience integrating generative AI into production applications.
• Understanding of prompt engineering and AI system limitations.
• Ability to design scalable systems beyond MVP and maintainable over time.

Responsibilities

• Build end-to-end applications that incorporate generative AI capabilities into real user workflows.
• Develop scalable backend services, APIs, and integrations using modern engineering practices.
• Build responsive and maintainable frontend experiences using modern frameworks.
• Design modular system architectures that support scalability, reliability, and long-term maintainability.
• Integrate LLMs and other AI tools into production applications with safeguards and monitoring.
• Optimize prompt flows, data pipelines, and system interactions for performance.
• Translate business requirements into technical solutions and make strong implementation trade-offs.
• Own features from ideation through development, testing, deployment, and iteration.
• Reuse proven solutions to accelerate delivery and improve product quality.
• Continuously improve product quality based on performance data and feedback.

Skills

Full stack engineering

Node.js

Python

React

APIs

Databases

Cloud platforms

AI integration

Experience 5+ years

Job description

Job DescriptionSummary

We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability.

General Information

This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions.

Tasks and deliverables

• Build end-to-end applications that incorporate generative AI capabilities into real user workflows
• Develop scalable backend services, APIs, and integrations using modern engineering practices
• Build responsive and maintainable frontend experiences using modern frameworks
• Design modular system architectures that support scalability, reliability, and long-term maintainability
• Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring
• Optimize prompt flows, data pipelines, and system interactions for consistency and performance
• Translate business requirements into technical solutions and make strong implementation trade-offs
• Own features from ideation through development, testing, deployment, and iteration
• Reuse and adapt proven solutions where appropriate to accelerate delivery
• Continuously improve product quality based on performance data, feedback, and operational learnings

Engagement highlights

• Opportunity to build impactful AI-powered products used in real production environments
• High ownership across architecture, implementation, and delivery
• Role suited for engineers who enjoy both product thinking and technical depth
• Chance to shape scalable systems early and influence long-term engineering quality
• Fast-paced environment with a strong emphasis on execution and practical outcomes
• Meaningful work at the intersection of full stack engineering and applied AI

Required Experience

• Strong full stack engineering experience, ideally 5+ years
• Proficiency in backend development with technologies such as Node.js, Python, or similar
• Strong frontend experience with frameworks such as React or comparable modern tools
• Experience building and consuming APIs, working with databases, and deploying on cloud platforms
• Hands-on experience integrating generative AI into production applications
• Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases
• Proven ability to design systems that scale beyond MVP and remain maintainable over time
• Strong understanding of software architecture, system design, and engineering best practices
• Demonstrated experience shipping multiple production-grade products or platforms
• Ability to combine traditional software engineering discipline with modern AI-driven workflows
• Experience working independently with strong ownership and product mindset