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Tier-1 brand and metro location with a senior Staff AI-engineer role create medium candidate competition.
Role demands specialized ML/AI and prompt engineering expertise, limiting cross-industry transferability.
Multiple explicit years and niche AI, prompt-engineering, and platform requirements make shortlisting highly stringent.
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Lead development and ownership of AI-native software solutions including deployment, testing, and validation of both traditional and AI components.
Manage and mentor a team of software and AI engineers ensuring high product quality and continuous improvement through code reviews, goal setting, and training.
Collaborate with cross-functional teams to develop scalable AI-driven business solutions leveraging cloud managed AI/ML services and advanced AI techniques.
8-12 years of practical Java development experience.
At least 2 years of experience with prompt engineering and integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce).
Proficiency in Python, Java, and JavaScript; strong Python skills for ML/AI environments.
Bachelor's degree in computer science or related field; ML/AI coursework or experience is a plus.
Experienced in cloud-native AI development using managed AI services on platforms like AWS, Azure, or Google Cloud with knowledge of Kubernetes and containerization.
Skilled in designing and managing domain-specific languages, prompt templates, agent frameworks, and deploying AI pipelines handling large data volumes.
Proven leadership in managing and mentoring software/AI teams with demonstrated ability to troubleshoot complex AI model behaviors and implement evaluation harnesses in Agile environments.