Strong handson experience (10-12 years)ย inย Python or Javaย (mandatory).
Proven experience designing and deliveringย LLM / GenAI solutionsย (e.g., RAG, orchestration, prompt engineering, AIassisted automation).
Solid understanding ofย microservices, APIs, distributed systems, and enterprise integration patterns.
Experience reviewing and governingย AIassisted / GenAIgenerated code.
Strong foundation inย secure coding practicesย and performance optimizatio
AI & GenAI Experience designing and implementingย LLMbased solutionsย (RAG, agents, copilots, automation).
Understanding ofย model lifecycle, inference pipelines, performance tuning, and cost optimization.
Familiarity with AI governance concepts such asย bias, explainability, auditability, and model risk controls.
Experience withย cloudnative or hybrid environments, containers, and orchestration platforms.
Exposure toย CI/CD pipelines, observability, and production support models.
Knowledge of secure coding practices and enterprise security standards.