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Metro location and high-interest GenAI domain but senior niche skills reduce applicant density.
Requires deep agentic GenAI, LLM, and production deployment experience, limiting cross-industry transferability.
Explicit 10+ years plus mandatory GenAI, LLM, cloud, and deployment skills create strict screening filters.
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Design, develop, and deploy enterprise-grade AI agents, multi-agent systems, and AI-powered workflow automation solutions.
Implement agent orchestration, planning, memory, reasoning, tool integration, and reusable agent frameworks for scalable AI applications.
Integrate AI agents with enterprise applications and cloud platforms, support deployment, monitoring, and ensure security and responsible AI governance.
10+ years of software engineering experience.
3+ years of hands-on experience with Generative AI/LLM-based applications.
Strong Python programming and API development skills; experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK.
Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker, Kubernetes), CI/CD pipelines, and AI deployment practices.
Experienced in delivering AI solutions in production environments with measurable business impact.
Technically proficient in agentic AI, generative AI, prompt engineering, and retrieval-augmented generation architectures.
Capable of leading technical efforts including mentorship, architecture reviews, and contributing to AI standards and reusable frameworks.