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Tier-1 brand, metro location, mid-level generalist title, and broad AI/backend skills increase candidate competition.
Role requires specialized LLM, prompt, and vector-database expertise, limiting cross-industry transferability.
Multiple explicit years and mandatory AI, cloud, and programming skills enforce strict shortlisting.
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Lead a team of software and AI engineers, managing daily tasks, mentoring, and ensuring high-quality AI-native and traditional software products.
Own full software development lifecycle including coding, deployment, testing, evaluation, and validation of AI and traditional components.
Collaborate cross-functionally to design scalable AI-driven solutions, monitor model performance, and provide regular updates to senior leadership.
5-8 years of practical Java experience.
3-5 years of experience with prompt engineering and integrating third-party AI/ML services and platform APIs.
Proficiency in Python, Java, and JavaScript; strong Python skills for ML/AI ecosystem.
Bachelor's degree in computer science or related field; ML/AI coursework or experience is a plus.
Experienced in managing AI-native software projects incorporating LLMs, agents, and vector databases with large-scale data pipelines.
Skilled in developing and maintaining prompt/agent scripting, domain-specific languages, and AI evaluation harnesses for probabilistic systems.
Comfortable working with cloud-managed AI services (AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI) and agile development practices.