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High due to Tier-1 brand, metro location, mid-level generalist title, and broad skill requirements.
Medium because fullstack, cloud and LLM skills transfer broadly, though domain nuances matter.
High because explicit 5-7 years plus mandatory Java, cloud, microservices, and LLM tech requirements.
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Design, code, and deploy AI-driven full stack applications using Java, SpringBoot, and cloud technologies in a hybrid work setup.
Implement big data processing and AI agent solutions to optimize workflows and reduce manual efforts, focusing on regulatory reporting.
Collaborate with business partners to translate requirements into AI technical solutions and maintain code quality with responsible AI governance.
5+ years of combined programming experience including Java, SpringBoot, frontend and backend engineering.
Bachelor's degree in Computer Science or related field with minimum 3 years relevant experience (NOTE: overall work experience stated as 5-7 years).
Hands-on experience with AI & LLM frameworks (e.g. OpenAI, Claude), microservices on cloud platforms (OpenShift, Azure), and data lake/database technologies (HDFS, Snowflake, SQL).
Work Mode: Hybrid (3 days office in Bangalore, Chennai, or Hyderabad; 2 days WFH). Shift: 12:30 PM to 10:00 PM IST.
Experienced AI engineer with strong Java and cloud full stack development expertise able to work independently in fast-paced environments.
Familiar with microservices architecture, large scale application design, and emerging AI technologies including foundational LLMs.
Capable of technical leadership, mentoring, and effective communication with stakeholders to align AI solutions with business needs.