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Medium — metro location and popular AI role balanced by seniority and niche generative AI requirement.
Medium — core ML engineering skills transfer across industries but generative agent experience is specialized.
High — explicit 8+ years, plus 2 years generative AI hands-on and leadership and specific tech requirements.
Architect, design, build, and deploy production-grade AI systems using large language models and autonomous agents.
Develop and monitor scalable AI workflows leveraging Generative AI, multi-agent coordination, and orchestration pipelines with focus on latency, cost, and reliability.
Own architectural decisions, coding standards, AI governance implementation, and provide technical mentorship to engineering teams.
8+ years of professional software development experience including mentorship or team leadership.
Minimum 2 years hands-on experience with Generative AI or agentic AI application development.
Strong proficiency in Python, backend engineering, RESTful API design, and scalable service architectures.
Experience with LLM APIs, embeddings, vector search or retrieval-augmented generation (RAG) pipelines; working knowledge of AI governance and agent frameworks.
Experienced lead engineer with deep expertise in full-stack software development and AI system architecture focused on LLMs and autonomous agents.
Skilled in driving AI engineering best practices, governance, and operational excellence in production environments.
Comfortable operating at the intersection of AI research application, coding standards enforcement, and cross-team collaboration including product and data teams.