Back
Known employer, metro role, and ML/AI visibility create moderate candidate competition.
Role requires specialized agentic LLM, MCP, and production ML experience, limiting cross-industry transferability.
Explicit 10+ years requirement plus mandatory production LLM, cloud, and Kubernetes skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead a specialized Agentic AI team to evaluate business processes and deliver production-grade AI agent solutions within an enterprise AI framework.
Provide hands-on technical leadership including design, coding, code review, troubleshooting, and deployment alongside engineering team members.
Develop reusable reference implementations and engineering standards to ensure operational reliability, enterprise compliance, and knowledge transfer.
10+ years in software, platform, AI/ML, or distributed-systems engineering with recent hands-on coding experience.
Proven production delivery experience with LLM, retrieval-augmented generation (RAG), agentic AI, or intelligent workflow automation solutions.
Proficient in Python, Java, or TypeScript with experience in API, microservices, event-driven systems, and cloud-native app development.
Experience with CI/CD, containers, Kubernetes or equivalent, automated testing, observability, and production support.
Experienced technical lead capable of managing multiple delivery tracks and guiding engineering teams in agentic AI solutions across diverse business domains.
Strong understanding of agent patterns, context engineering, workflow orchestration, failure-mode design, and enterprise-grade integrations.
Proficient at balancing rapid implementation with reusable engineering patterns, security compliance, and operational readiness in regulated or sensitive data environments.