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Posted 20 hours ago
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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:
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Build end-to-end applications that incorporate generative AI capabilities into real user workflows
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Develop scalable backend services, APIs, and integrations using modern engineering practices
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Build responsive and maintainable frontend experiences using modern frameworks
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Design modular system architectures that support scalability, reliability, and long-term maintainability
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Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring
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Optimize prompt flows, data pipelines, and system interactions for consistency and performance
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Translate business requirements into technical solutions and make strong implementation trade-offs
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Own features from ideation through development, testing, deployment, and iteration
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Reuse and adapt proven solutions where appropriate to accelerate delivery
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Continuously improve product quality based on performance data, feedback, and operational learnings
Required Experience:
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Strong full stack engineering experience, ideally 5+ years
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Proficiency in backend development with technologies such as Node.js, Python, or similar
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Strong frontend experience with frameworks such as React or comparable modern tools
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Experience building and consuming APIs, working with databases, and deploying on cloud platforms
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Hands-on experience integrating generative AI into production applications
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Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases
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Proven ability to design systems that scale beyond MVP and remain maintainable over time
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Strong understanding of software architecture, system design, and engineering best practices
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Demonstrated experience shipping multiple production-grade products or platforms
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Ability to combine traditional software engineering discipline with modern AI-driven workflows
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Experience working independently with strong ownership and product mindset
Engagement highlights:
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Opportunity to build impactful AI-powered products used in real production environments
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High ownership across architecture, implementation, and delivery
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Role suited for engineers who enjoy both product thinking and technical depth
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Chance to shape scalable systems early and influence long-term engineering quality
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Fast-paced environment with a strong emphasis on execution and practical outcomes
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Meaningful work at the intersection of full stack engineering and applied AI
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