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Senior-level, niche agentic AI requirements reduce applicant density despite metro location and mid-tier employer.
Highly specialized agentic AI, LLM, and observability skills limit cross-industry transferability.
Explicit 8–12 years plus mandatory specialized AI, integration, and cloud skills enforce strict filters.
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Design, build, and deploy production-grade autonomous multi-agent AI systems integrating LLMs with enterprise workflows on platforms like Aisera.
Develop scalable backend services/microservices for AI applications with focus on testing, monitoring, CI/CD, and AI governance including security and compliance controls.
Translate business requirements to functional designs; run demos and PoCs, integrate agents with external systems (APIs, ITSM, CRMs) for automated workflow execution.
8–12 years of software development, AI/ML engineering, or systems integration experience with recent hands-on Agentic AI/LLM delivery.
Proficient in Python (primary), with Java and/or JavaScript experience; experience building agents using LLM frameworks like LangChain or AutoGen.
Hands-on experience with Aisera or comparable agentic AI/conversational AIOps platforms; integration experience with REST APIs, OAuth/OIDC/JWT.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Experienced in hands-on development and operational deployment of multi-agent AI systems leveraging LLMs for enterprise automation workflows.
Comfortable working independently on end-to-end agent lifecycle including prompt engineering, orchestration, and monitoring in cloud environments (AWS/Azure/GCP).
Proficient in AI governance and security controls with practical knowledge of AI observability tools and cloud-native DevOps practices.