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Strong Tier-1 brand plus mid-level (5+ years) hiring, but specialized LLM-agent skills somewhat limit applicants.
Highly specialized LLM/agent engineering and responsible AI requirements reduce cross-industry transferability.
Explicit 5+ years and many mandatory AI, infra, and orchestration technologies required.
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Lead design and implementation of LLM-driven AI agent services integrated into software delivery lifecycle on AWS.
Architect and build multi-agent orchestration and communication frameworks enhancing AI-native SDLC processes.
Provide technical leadership to adopt AI-assisted engineering practices improving code quality, delivery speed, and operational outcomes.
5+ years of applied software engineering experience with formal training or certification.
Proficient in Python, Pydantic, FastAPI, LangGraph, and vector databases for AI agent solutions on AWS (EKS, Lambda, S3, Terraform).
Experience with LLM integration, AI agent frameworks (Langchain, LangGraph, Autogen, MCPs, A2A) and CI/CD tools including Terraform, Kubernetes, Docker.
Demonstrated leadership in enterprise-authorized AI-assisted software development tools and strong understanding of responsible AI use including security and compliance.
Experienced in architecting and delivering complex AI-native software solutions within agile, enterprise environments.
Comfortable leading cross-functional collaboration involving AI, software engineering, and product management with a focus on measurable impact.
Skilled in applying secure, scalable AI agent frameworks and driving adoption of AI-assisted SDLC practices at an organizational level.