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Remote role and metro location increase competition, but niche agentic expertise reduces broad applicant pool.
Role requires specialized agentic AI, evaluation frameworks, and tooling, making skills less transferable across unrelated industries.
Strong mandatory technical requirements, specific agentic engineering experience, and 6+ years make shortlisting highly strict.
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Lead design and development of production-grade multi-agent AI systems integrating planning, tool use, context management, and autonomous task execution.
Drive adoption of Agentic Engineering practices across the software development lifecycle to augment and automate engineering workflows using AI agents like Claude Code and Hermes Agent.
Establish engineering best practices including context engineering, agent orchestration, evaluations (Evals), monitoring, and AI-assisted software development workflows.
6+ years of software engineering or AI engineering experience with strong hands-on development skills.
Proven experience building production-grade Agentic AI systems beyond simple chatbots or basic RAG applications.
Strong expertise with Python, backend/API development, LLMs, agent frameworks (e.g., LangGraph, LangChain), and AI agent orchestration.
Practical experience using AI agents (Claude Code, PI, Hermes Agent) as tools integrated within the Software Development Lifecycle (SDLC).
Experienced in architecting scalable, reliable agentic AI applications combining multi-agent coordination, planning, and tool integration in production environments.
Strong software engineering fundamentals with leadership experience in technical design, mentoring, and establishing engineering standards for AI-powered products.
Familiar with evaluation frameworks for autonomous systems focusing beyond accuracy including reasoning, tool use, context handling, and operational metrics, ensuring engineering quality and safety in AI solutions.