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Strong employer brand and metro location but senior, niche ML/AI specialization limits broad applicant competition.
Highly specialized ML/AI systems and agent engineering skills reduce transferability across non-AI industries.
Explicit 10+ years requirement plus specialized ML/AI, platform, and leadership skills increase screening strictness.
Design and architect scalable, reliable AI-driven software platforms and intelligent agent systems incorporating automation and workflow orchestration.
Lead end-to-end development of complex software applications and platforms, including integration of AI/ML frameworks and agent-based technologies.
Mentor and guide engineers while defining architectural best practices and driving performance, scalability, and security enhancements.
10+ years of professional software development experience in system design and scalable distributed architectures.
Proficiency in at least one programming language such as Python, Java, Go, or C++ and experience with cloud platforms (AWS, Azure, or GCP).
Hands-on experience with APIs, microservices, databases (SQL and NoSQL), and AI agent frameworks (e.g., LangChain, AutoGen).
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in architecting and building AI-powered autonomous or semi-autonomous agent systems integrated with tools, APIs, and workflows.
Familiar with modern AI development including LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG).
Has previous leadership or technical architect roles with deep knowledge of platform engineering, MLOps, containerization, and CI/CD processes.