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Specialized LLM/agent skills narrow candidate pool but common 'Data Scientist' title and mid-level level attract applicants.
Highly specialized LLM and agentic AI production skills limit applicability across non-AI industries.
Explicit 5+ years plus mandatory LLM production, Python, cloud, containerization, and engineering practices increases strictness.
Identify, design, build, and deploy practical AI use cases involving Generative AI, LLMs, and Agentic AI within the PARROT promotional planning platform.
Provide technical leadership and mentorship to the engineering team to build internal AI development capabilities and establish engineering best practices for AI integration.
Act as technical liaison between the PARROT team and the enterprise AI platform ensuring AI solutions align with platform standards and reusable patterns.
5+ years of professional experience, specifically with hands-on development and deployment of AI applications using LLMs, Generative AI, or Agentic AI technologies.
Proficiency in Python with experience in production-grade backend application and API development; also experience with SQL and modern software engineering practices.
Experience deploying AI applications in cloud environments, preferably Google Cloud Platform, with containerization experience (Docker, Kubernetes).
Experience integrating AI capabilities with enterprise AI platforms or shared model gateways preferred.
Experienced in developing production AI systems that balance user value, reliability, and operational challenges such as hallucinations and context management.
Able to lead technical enablement by mentoring developers through code reviews, workshops, and paired programming to build sustainable AI engineering practices within the team.
Strong collaborative orientation to work across product, engineering, analytics, architecture, and platform teams to align technical solutions with business objectives and platform standards.