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Tier-1 brand, generalist senior engineer title, metro location, and broad skill requirements increase competition.
Role demands distributed systems, AI orchestration, LLM/multi-agent experience, making cross-industry transferability low.
Explicit 7+ years and 4+ years distributed-systems requirement plus mandatory tech stack and AI experience.
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Build and scale the core AI agentic orchestration platform infrastructure that enables enterprise AI automation involving AI agents, robots, and human workflows.
Develop full-stack solutions using React, Python, C# and AI coding assistants, moving prototypes to production validated by real customer data.
Design, measure, and ensure reliability of distributed systems with a focus on quality metrics beyond vanity numbers, supporting enterprise scale usage.
7+ years of software engineering experience with 4+ years in distributed systems and backend architecture.
Proficiency in full-stack development including frontend frameworks (React, TypeScript) and backend languages (Python, C#, JavaScript, Java).
Experience building production AI systems involving LLMs, multi-agent orchestration frameworks, and AI model behavior evaluation.
Bachelor's or Master's degree in Engineering, Computer Science or equivalent experience.
Experience working in fast-paced, iterative, startup-like environments with rapid prototyping and customer feedback loops.
Demonstrated ability to take ownership from idea through customer impact to production in AI-focused automation products.
Background in distributed system design emphasizing resilience, reliability, and cloud-native technologies, with familiarity of AI-powered developer tools.