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Strong employer brand plus senior AI role, but specialized ML systems skills reduce applicant density.
Deep AI systems, distributed systems, and MLOps expertise required, limiting cross-industry transferability.
Explicit 10+ years plus mandatory system design, cloud, and ML/MLOps skills drive strict filtering.
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Architect and lead development of scalable, high-performance AI-driven software systems and platforms.
Design and build AI agents for automation, decision-making, and workflow orchestration integrating modern AI/ML frameworks.
Mentor engineering teams, enforce best practices, and drive improvements in performance, scalability, and security.
10+ years of professional software development experience with expertise in system design and scalable distributed systems.
Proficiency in languages such as Python, Java, Go, or C++ and experience with cloud platforms (AWS, Azure, or GCP).
Hands-on experience with APIs, microservices, event-driven architectures, SQL/NoSQL databases, and integrating AI into production systems.
Familiarity with LLMs, prompt engineering, AI agent frameworks (e.g., LangChain, AutoGen), vector databases, and retrieval-augmented generation (RAG) systems.
Experienced in building and scaling complex AI-powered software platforms with a systems-architecture mindset.
Strong technical leadership capability demonstrated by mentoring and guiding engineering teams and defining best practices.
Deep knowledge of AI agent frameworks and integrating autonomous/semi-autonomous agents within software workflows.