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Specialized LLM and cloud skills reduce applicants, but fullstack title and mid-seniority keep competition medium.
Fullstack and cloud skills are transferable, but LLM/Bedrock/LangChain specialization raises domain sensitivity to medium.
Explicit 7–9 years plus mandatory Python, React, AWS Bedrock, LangChain, and Kubernetes increases filter strictness.
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Design and deliver scalable full stack AI-powered applications using Python, React or Next.js, integrating LLM features with AWS Bedrock, LangChain, and LangGraph.
Develop and maintain production-grade RESTful and event-driven APIs supporting AI workflows and deploy/manage services on Kubernetes.
Provide technical leadership by mentoring junior AI Developers, contributing to shared libraries, and participating in architecture and engineering standards discussions.
7 to 9 years of relevant software development experience.
Strong proficiency in Python for backend and AI workflow development.
Experience with front-end frameworks React or Next.js and backend engineering.
Hands-on experience with AWS services (Lambda, S3, ECS/EKS, API Gateway, IAM), Kubernetes deployment, REST API design, and working knowledge of AWS Bedrock, LangChain, and LangGraph.
Experienced in building and integrating large language model-driven applications with practical use of LangChain/LangGraph and AWS Bedrock.
Comfortable working across the full stack and managing scalable AI-powered systems in agile, cross-functional teams.
Prepared to take on increased technical ownership and leadership responsibilities within a fast-paced, emerging technology environment.