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Mid-level client-facing AI/LLM role with full-stack demands results in moderate applicant competition.
Specialized LLM, RAG, and AI deployment skills produce high industry specificity.
Explicit 3–7 years plus mandatory full-stack and LLM skills make filtering moderately strict.
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Own end-to-end deployment of AI-powered solutions with clients, from concept through production and live troubleshooting.
Translate complex client workflows and business requirements into customized full-stack AI applications using React.js, Node.js, and AI/LLM integrations.
Collaborate directly with clients and internal teams to integrate and optimize AI platforms within existing client infrastructure to create measurable business impact.
3–7 years of hands-on full stack development experience.
Bachelor's or Master's degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).
Strong skills in React.js and/or Angular, Node.js, REST APIs, and cloud platforms (AWS preferred).
Client-facing experience with strong communication skills and ability to troubleshoot AI/LLM-based applications in production.
Experienced in deploying and customizing AI/LLM-powered applications within production client environments with measurable outcomes.
Comfortable working in a fast-paced, ambiguous, client-embedded role requiring ownership from prototype to live system.
Background in modern full stack development coupled with AI/ML workflow knowledge, including prompt engineering, RAG pipelines, and AI system evaluation.