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Tier-1 brand, remote role, and mid-level experience range increase applicant competition.
Specialized agentic AI and LLM experience increases domain bias and limits cross-industry fit.
Explicit 6–8 years and specific agentic AI/LLM expertise make filters strict.
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Design, prototype, and implement agentic AI workflows and autonomous AI agents for enterprise use cases such as sprint tracking, code review assistance, and QA orchestration.
Integrate and maintain multi-agent frameworks and LLMs (e.g., LangChain, CrewAI, AutoGen) with enterprise knowledge and automation platforms.
Support deployment, optimization, and documentation of agentic AI solutions including UI components, interfacing with project management tools, APIs, and cloud platforms.
6–8 years of experience in software engineering, AI/ML, automation, or related domains with recent hands-on agentic AI or intelligent workflow exposure.
Working knowledge of agentic AI development platforms such as Windsurf, LangChain, AutoGen, CrewAI, or Glean.
Experience developing, testing, and maintaining Python-based agentic AI scripts and workflows.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Demonstrated ability to translate business needs into practical AI workflows collaborating with cross-functional teams including engineers and business analysts.
Strong experience integrating large language model APIs and multi-agent systems within enterprise automation contexts.
Capable of communicating technical AI concepts to both technical and non-technical stakeholders and documenting solutions clearly.