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Tier-1 brand and Bangalore location increase candidate density, but Agentic AI specialization moderates competition.
Specialized GenAI and enterprise integration skills moderately limit portability across industries.
Explicit 7–10 years plus specialized GenAI, LLM and enterprise integration requirements make shortlisting stringent.
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Design and develop Agentic AI systems leveraging large language models and multi-agent frameworks to enable autonomous decision-making and task execution.
Build and deploy scalable automation solutions integrated with enterprise platforms via APIs and cloud services to enhance operational efficiency.
Lead end-to-end AI and automation projects including opportunity identification, technical architecture design, development lifecycle management, and solution optimization.
7-10 years of work experience in programming, agile development, or related AI/automation fields.
Strong programming skills in Python; knowledge of JavaScript/TypeScript or other languages is a plus.
Hands-on experience with GenAI/LLM applications, agent frameworks (e.g., LangChain, OpenAI Agents), and automation workflows using RPA or scripting.
Degree or equivalent experience in Computer Science, Statistics, Mathematics, or related discipline.
Experienced in integrating AI solutions with enterprise tools such as JIRA, SharePoint, Salesforce, and ServiceNow via APIs.
Capable of leading AI/automation discovery workshops and collaborating cross-functionally to identify valuable use cases.
Comfortable working with cloud platforms and evolving GenAI, Agentic AI, and intelligent automation technologies in complex problem-solving contexts.