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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro mid-level AI role with some niche agentic AI demands, leading to moderate competition.
Specialized agentic AI, LLM, and vector-db expertise limits cross-industry transferability, so sensitivity is high.
Explicit 5+ years requirement and many mandatory AI, infra, and tooling skills implies strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design and build scalable, secure, cloud-native AI agent systems enabling enterprise-scale autonomous AI solutions.
Lead development of runtime components, automation, and infrastructure for next-generation GenAI and agentic AI technologies.
Collaborate with AI researchers, platform teams, and product leaders to deploy advanced AI agent capabilities driving measurable business value.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
3-5+ years experience in software architecture, backend development, or AI infrastructure with strong Python skills; familiarity with Java, Go, and C++.
Proven experience designing, developing, and deploying autonomous AI agents at scale; expertise in agent-based architectures and runtime components for AI/LLM.
Experience with distributed systems, cloud-native deployments (AWS, Azure, GCP), containerization, CI/CD pipelines, and backend APIs.
Ideal Candidate Profile
Experienced in implementing governance, safety, and compliance in agentic AI production environments.
Strong background in agent development including LLM integration, prompt engineering, runtime systems, and AI tooling.
Effective collaborator able to partner with product leaders, architects, and cross-functional teams to define enterprise AI capabilities and mentor others.