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Niche LLM/agentic expertise reduces applicant pool, but mid-level metro role still attracts moderate competition.
High — specialist LLM, agentic AI and enterprise integration skills limit easy cross-industry transfer.
Explicit 5–7 years and mandatory 2 years production LLM experience increase screening strictness.
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Design and build enterprise-grade Agentic AI solutions and intelligent orchestration workflows from ideation through production.
Collaborate closely with product leadership and customers to understand complex business challenges and translate them into scalable AI capabilities.
Continuously evaluate emerging AI technologies to innovate and improve the AI platform and product offerings.
5–7 years of professional software engineering experience.
Minimum 2 years hands-on experience designing, developing, and deploying Generative AI/LLM-based applications in production.
Proficiency with Python, cloud-native development (preferably Microsoft Azure), and modern software engineering practices.
Work Experience Required: 5–7 years; Notice Period: Not explicitly mentioned.
Able to solve complex business problems through systems thinking and AI-driven design rather than just coding.
Comfortable working in small, lean, entrepreneurial teams with ownership beyond strict role definitions.
Experience or strong interest in enterprise AI platforms, intelligent agents, AI orchestration, and emerging AI technologies.