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Tier-1 brand and Bangalore location increase competition, but specialized GenAI agent skills moderate density.
Specialized GenAI and enterprise automation experience somewhat limits transferability across unrelated industries.
Explicit 5–7 years plus mandatory GenAI, LLM, agent framework, and integration skills enforce strict filtering.
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Design and develop autonomous Agentic AI systems using large language models and multi-agent frameworks.
Identify and prioritize AI and automation opportunities by collaborating with business and technical stakeholders.
Lead end-to-end development lifecycle of AI-driven automation solutions integrated with enterprise systems like JIRA and SharePoint.
Strong programming skills in Python; knowledge of JavaScript/TypeScript is a plus.
Experience in developing GenAI/LLM-based applications and building automation workflows using RPA or scripting.
Typically 5-7 years of relevant work experience in programming, agile development, or related fields.
Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related discipline, or equivalent work experience.
Proven ability to lead AI/automation discovery workshops and assess opportunities for impact.
Experienced in integrating AI solutions with enterprise tools and cloud platforms (e.g., AWS, Microsoft Azure).
Comfortable managing full project lifecycle in Agile environments and translating complex requirements into scalable architectures.