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Metro location, strong national brand, and mid-level AI engineering role increase competition.
Highly domain-specific agent engineering and telco/SAP integration requirements reduce cross-industry portability.
Explicit 6–8 years plus mandatory LangChain, AutoGen, SLM fine-tuning and SAP integrations make filters strict.
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Own development and deployment of Vi 2.0 Agentic Workflows integrating AI reasoning into SAP, AWS, GWS, and CRMs.
Lead process redesign targeting 70% reduction in workflow cycle times by implementing AI-driven automation.
Deliver rapid prototyping of AI agents achieving at least 30% better conversion efficiency compared to human agencies, and maintain zero hallucination AI code quality standard.
6-8 years of full-stack or backend engineering experience with focus on Python-native AI development.
Mandatory experience with LangChain, AutoGen, or CrewAI for AI agent building.
Proficiency with backend integrations including iPaaS platforms (Workato/Zapier) and secure API hooks into systems like SAP and Amdocs.
Work Experience Required: 6-8 years in relevant engineering and AI development roles.
Experienced AI engineer skilled in agentic frameworks: tool-calling, recursive reasoning loops, multi-agent collaboration.
Proven ability in rapid prototyping and delivering scalable AI automation workflows within strict deadlines.
Deep technical expertise in AI prompting techniques, fine-tuning small language models for telecom domain-specific tasks, and integrating legacy enterprise systems.