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Niche agentic AI skills and senior Staff level reduce applicant competition significantly.
Highly specialized agentic AI and LLM runtime experience limits cross-industry portability.
Multiple explicit technical requirements and minimum experience make filters strict and selective.
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Develop and deploy intelligent, scalable, cloud-native AI systems focused on autonomous agent capabilities using GenAI and Agentic AI products.
Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility with a focus on scalability, performance, and usability.
Drive enterprise-wide adoption of AI agents through safe, integrable, containerized (Docker, Kubernetes) deployments and robust runtime execution using MCP server integrations.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
4+ years of software development experience; at least 2 years designing/deploying systems on AWS, Azure, or Google Cloud.
Proficiency in Python and at least one additional language such as Java, Go, or C++.
Experience with agent development, LLM integration, prompt engineering, runtime systems, and containerization technologies (Docker, Kubernetes).
Experienced in building and managing advanced agent-based AI architectures and runtime components in production-scale, cloud-native environments.
Skilled in integrating and governing autonomous AI agents with compliance and safe execution in enterprise contexts.
Able to work collaboratively with cross-functional teams including product owners and architects on scalable AI-driven automation and conversational platforms.