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
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