JAVA FULL STACK DEVELOPER (CREQ263104)
* Strong hands‑on experience (10-12 years) in Python or Java (mandatory).
* Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AI‑assisted automation).
* Solid understanding of microservices, APIs, distributed systems, and enterprise integration patterns.
* Experience reviewing and governing AI‑assisted / GenAI‑generated code.
* Strong foundation insecure coding practices and performance optimization.
* AI & GenAI Experience designing and implementing LLM‑based solutions (RAG, agents, copilots, automation).
* Understanding of model lifecycle, inference pipelines, performance tuning, and cost optimization.
* Familiarity with AI governance concepts such as bias, explainability, auditability, and model risk controls.
* Experience with cloud‑native or hybrid environments, containers, and orchestration platforms.
* Exposure to CI/CD pipelines, observability, and production support models.
* Knowledge of secure coding practices and enterprise security standards.
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* Strong hands‑on experience (10-12 years) in Python or Java (mandatory).
* Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AI‑assisted automation).
* Solid understanding of microservices, APIs, distributed systems, and enterprise integration patterns.
* Experience reviewing and governing AI‑assisted / GenAI‑generated code.
* Strong foundation insecure coding practices and performance optimization.
* AI & GenAI Experience designing and implementing LLM‑based solutions (RAG, agents, copilots, automation).
* Understanding of model lifecycle, inference pipelines, performance tuning, and cost optimization.
* Familiarity with AI governance concepts such as bias, explainability, auditability, and model risk controls.
* Experience with cloud‑native or hybrid environments, containers, and orchestration platforms.
* Exposure to CI/CD pipelines, observability, and production support models.
* Knowledge of secure coding practices and enterprise security standards.
#J-18808-Ljbffr
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