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Tier-1 brand and metro location increase applicant density, but niche GenAI and automation specialization limits competition.
Specialized GenAI, agent-framework, and automation expertise reduces cross-industry transferability.
Explicit 7-10 years plus mandatory GenAI, agent frameworks, and integration skills create high shortlisting strictness.
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Design and develop Agentic AI systems leveraging large language models and multi-agent frameworks for autonomous decision-making and task execution.
Build scalable automation solutions to streamline manual processes and enhance operational efficiency across the organization.
Identify and prioritize AI and automation opportunities by collaborating with business and technical stakeholders, leading projects from concept to deployment.
7-10 years of work experience, preferably in computer programming or agile development methodologies.
Strong programming skills in Python; familiarity with JavaScript/TypeScript or other languages is a plus.
Hands-on experience with GenAI/LLM-based applications and agent frameworks such as LangChain Agents or OpenAI Agents.
Experience integrating AI-driven solutions with enterprise tools (e.g., JIRA, SharePoint, ServiceNow) and familiarity with cloud platforms.
Experienced in leading AI and automation discovery initiatives and collaborating cross-functionally to identify impactful use cases.
Skilled in agile project management and capable of translating complex requirements into scalable technical architectures.
Proficient with modern AI automation technologies including RPA tools, agent frameworks, and knowledge of RAG and vector databases.