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 workflowsDevelop scalable backend services, APIs, and integrations using modern engineering practicesBuild responsive and maintainable frontend experiences using modern frameworksDesign modular system architectures that support scalability, reliability, and long-term maintainabilityIntegrate LLMs and other AI tools into production applications with appropriate safeguards and monitoringOptimize prompt flows, data pipelines, and system interactions for consistency and performanceTranslate business requirements into technical solutions and make strong implementation trade-offsOwn features from ideation through development, testing, deployment, and iterationReuse and adapt proven solutions where appropriate to accelerate deliveryContinuously improve product quality based on performance data, feedback, and operational learningsEngagement highlights:Opportunity to build impactful AI-powered products used in real production environmentsHigh ownership across architecture, implementation, and deliveryRole suited for engineers who enjoy both product thinking and technical depthChance to shape scalable systems early and influence long-term engineering qualityFast-paced environment with a strong emphasis on execution and practical outcomesMeaningful work at the intersection of full stack engineering and applied AIRequirementsRequired Experience:Strong full stack engineering experience, ideally 5+ yearsProficiency in backend development with technologies such as Node.js, Python, or similarStrong frontend experience with frameworks such as React or comparable modern toolsExperience building and consuming APIs, working with databases, and deploying on cloud platformsHands-on experience integrating generative AI into production applicationsPractical understanding of prompt engineering and AI system limitations, including failure modes and edge casesProven ability to design systems that scale beyond MVP and remain maintainable over timeStrong understanding of software architecture, system design, and engineering best practicesDemonstrated experience shipping multiple production-grade products or platformsAbility to combine traditional software engineering discipline with modern AI-driven workflowsExperience working independently with strong ownership and product mindset
Job Description
Summary:
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
Requirements
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
