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Tier-1 brand, mid-level role, metro location, and popular AI/software skillset increase applicant competition.
Specialized AI-native skills, prompt engineering, and vector DB experience limit cross-industry transferability.
Multiple explicit years and mandatory AI, cloud, and vector DB skills raise shortlisting strictness.
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Lead a team of software and AI engineers, managing daily tasks, mentoring, code reviews including AI components, and setting quarterly goals.
Own end-to-end development and deployment of AI-native software components, including prompt/agent design, model selection, evaluation harnesses, and secure coding practices.
Collaborate cross-functionally to define AI-driven solutions, participate in root cause analysis of AI/model issues, and communicate technical progress and challenges to leadership and stakeholders.
5-8 years of practical Java experience.
3-5 years of prompt engineering, prompt/agent scripting, and integrating third-party AI/ML services/platform APIs.
Proficiency in Python, Java, JavaScript; strong Python skills for ML/AI.
Bachelor's degree in computer science or related field.
Experienced in leading software and AI engineering teams with accountability for AI/model code and deployment in cloud IaaS environments (Google Cloud, AWS, Azure).
Technical expertise balancing classical software engineering and AI-specific development (prompt engineering, evaluation harnesses, secure AI coding).
Familiarity with modern cloud-managed AI services, microservices for high-performance data pipelines, and AI orchestration frameworks (LangChain, LlamaIndex).