We are looking for a Full Stack AI Engineer who can design, build, and operate end to end, AI powered applications. This role blends strong full stack engineering fundamentals with hands on experience applying modern AI/ML and LLM technologies in production systems.
You will work across frontend, backend, and AI layers to deliver scalable, secure, and user centric solutions—owning features from concept to production and continuously improving them using data and feedback.
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Key Responsibilities
Full Stack Engineering
• Design, build, and maintain end to end web applications using modern frontend and backend frameworks
• Develop scalable backend services and APIs (REST / GraphQL) to support AI driven use cases
• Ensure high standards for performance, reliability, security, and maintainability
• Write clean, testable, well documented code and participate in code reviews
AI / ML & LLM Development
• Design and implement AI powered features, including LLM based workflows, retrieval augmented generation (RAG), agents, and prompt driven systems
• Integrate AI models into applications using APIs and SDKs (open source or enterprise approved)
• Collaborate on model evaluation, prompt tuning, and experimentation to improve quality and accuracy
• Apply responsible AI principles, including security, privacy, explainability, and bias mitigation
Cloud, DevOps & Production Readiness
• Deploy and operate applications in cloud environments using CI/CD pipelines
• Monitor application and AI system performance, reliability, and cost
• Troubleshoot production issues across frontend, backend, and AI components
Collaboration & Ownership
• Partner with product managers, designers, and other engineers to translate business needs into technical solutions
• Contribute to architectural decisions and technical standards
• Mentor junior engineers and promote best practices across the team
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