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Tier-1 brand, mid-level generalist title, metro location, and broad AI skill requirements increase applicant competition.
Deep LLM, prompt-engineering, and vector DB expertise limits transferability across industries.
Explicit years, mandatory Java and prompt/AI integration skills, and domain-specific tooling make shortlisting highly strict.
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Lead and mentor a team of software and AI engineers ensuring high-quality delivery of AI-native and traditional software components.
Own full software lifecycle including coding, deployment, testing, evaluation, and validation for both AI and non-AI software elements.
Collaborate cross-functionally and communicate technical progress and challenges to leadership, while staying updated on AI and cloud technologies to enhance products.
3-5 years of practical Java experience.
1-2 years experience in prompt engineering, AI/ML service integration, or agent scripting.
Proficiency in Python, Java, and JavaScript; strong with Python in ML/AI contexts.
Bachelor's degree in computer science or related field.
Experienced in designing and managing domain-specific languages, prompt templates, and agent instruction frameworks for AI applications.
Skilled in building scalable microservices and handling large data pipelines and vector databases used in AI/ML.
Comfortable working with cloud-managed AI services (AWS, Google Cloud, Azure) and implementing secure software and AI-specific safeguards.