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Tier-1 employer in a metro but niche GenAI agentic requirements limit broad applicant density.
Role requires specialized GenAI agentic, RAG, and RL experience, making cross-industry transfers difficult.
Explicit 7–10 years plus mandatory 2.5 years in production GenAI, specific tech stack, and compliance needs increase strictness.
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Architect, design, and lead development of production-grade Generative AI and Agentic solutions.
Drive technical strategy including architecture, frameworks, and tools selection for AI projects.
Mentor junior/intermediate engineers and oversee Agile project management; may include formal people management for AVP track.
7-10 years total experience with at least 2.5 years in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
Expert-level knowledge of Agentic solution design, including architecture, memory management, hallucination control, and reinforcement learning feedback.
Proficient in Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
Bachelor's degree required; Master’s preferred in Computer Science, AI, Engineering, or related quantitative field.
Experienced in leading scalable, performant AI technology solutions with deep expertise in Agent training and feedback processes.
Capable of technical leadership and mentoring within Agile environments, including program/project management skills.
Familiar with compliance, security, and production performance standards in AI deployments.