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Mid-level, generalist full-stack role with broad AI and cloud requirements creates moderate candidate competition.
AI/LLM integration and enterprise AWS ownership mean moderate cross-industry transferability.
Explicit 6–10 years plus mandatory AI/LLM, backend, and AWS production experience enforces strict shortlisting.
Own end-to-end delivery of AI-powered enterprise applications across full stack: AI/LLM integration, backend services, cloud infrastructure, and UI.
Design, build, and ship scalable features including RAG pipelines, agent orchestration, prompt engineering, and backend APIs.
Deploy and manage AWS infrastructure (Lambda, ECS/EKS, API Gateway, S3, RDS) and contribute significantly to UI development using modern frameworks, primarily React.
6+ years of full-stack engineering experience.
Strong backend programming skills in Python, Node.js, Java, or Go.
Hands-on production experience integrating AI/ML models or LLM APIs (e.g. OpenAI, Bedrock, LangChain).
Solid AWS deployment and infrastructure ownership experience (Lambda, ECS/EKS, API Gateway, S3, RDS) at enterprise scale.
Experienced in enterprise-scale, multi-tenant systems emphasizing security, observability, and CI/CD.
Capable of handling client-facing engagements and collaborating effectively with product managers, architects, and stakeholders.
Proficient in front-end frameworks (React preferred) with ability to own UI delivery end-to-end and deliver polished user interfaces.