Super urgent role for AI Engineer - 100% Remote- Long term opportunity - Only 12+ Years experience

AI Engineer | Location: Remote Mandatory Skills – Claude AI models (Haiku, Sonnet and Opus) in agentic workflows and development activities Job Description As killed Agentic Full Stack Developer to build and deploy production-grade applications that harness the power of Claude AI models (Haiku, Sonnet and Opus) in agentic workflows and development activities Roles & Responsibilities Must Have- Required-Design and develop full stack applications that seamlessly integrate Claude models (Haiku 4.x, Sonnet 4.x, Opus 4.x) in agents capable of multi-step reasoning and contextual task execution Architect scalable agentic systems that leverage Claude's advanced thinking, tool use, and computer use capabilities Build resilient backend services and APIs that orchestrate agent workflows, manage context windows, and handle asynchronous AI operations Develop responsive frontend interfaces that surface agent reasoning processes and enable effective human-AI collaboration Implement production deployment pipelines with monitoring, error handling, and graceful degradation Establish quality assurance processes including comprehensive testing of non-deterministic AI behaviors Optimize prompt engineering, context management, and token utilization to maximize efficiency and accuracy in production workloads.

Ensure security best practices around API key management, data privacy, and model output validation 5+ years full stack development experience with modern frameworks (React/Next.js, Node.js/Python, etc.) Demonstrated experience building applications with Claude Code (Sonnet/Opus) in production environments Strong understanding of agentic AI patterns: tool use, multi-step planning, self-correction, and autonomous decision-making Experience with cloud deployment (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes) Proficiency in API design, database management, and scalable architecture patterns Track record of shipping high-quality, well-tested code with attention to edge cases Understanding of LLM limitations, prompt injection risks, and AI safety considerations Good to Have- Experience with Anthropic's APIs and Claude Code Familiarity with agent frameworks and orchestration tools Background in prompt engineering and systematic evaluation of LLM outputs Experience with CI/CD pipelines and infrastructure-as-code