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Niche LLM+full-stack skills but mid-tier employer and senior experience produce moderate candidate competition.
Specialized LLM, RAG, and AI operational experience makes background fit sensitive and domain-specific.
Explicit 7.5+ years and mandatory LLM/RAG/LangChain, cloud and security skills create high shortlisting strictness.
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Design, develop, and deploy AI-powered applications and intelligent assistants using Large Language Models to automate security and enterprise workflows.
Build scalable React-based user interfaces and dashboards plus backend services (Java/Python) including Retrieval-Augmented Generation (RAG) pipelines and AI microservices.
Implement responsible AI practices, continuous AI model evaluation, and collaborate across engineering, DevOps, security, and business teams to deliver scalable, secure enterprise AI solutions.
7.5+ years of relevant experience in software development, AI/ML engineering, or applied AI with production-grade AI application experience.
Strong proficiency in React, Java and/or Python, backend API development, LLM platforms (OpenAI, Anthropic, Azure OpenAI etc.), and RAG pipeline implementation.
Bachelor’s or master’s degree in computer science, IT, or related field.
Working knowledge of cloud platforms (Azure, AWS, or GCP) and familiarity with AI security and responsible AI principles.
Experienced Full-stack AI developer with deep hands-on expertise in LLM integration, RAG pipelines, and enterprise AI automation workflows.
Capable of bridging frontend (React) and backend (Java/Python, API, AI orchestration) to deliver cohesive, scalable AI applications.
Familiar with operationalizing AI in security-sensitive environments, emphasizing responsible AI, security controls, and cross-team collaboration.