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Agentic AI Engineer - L3Location: Fully Remote Job SummaryWe are seeking an experienced Lead Agentic AI Engineer to design, architect, and implement cutting-edge autonomous AI systems that drive measurable business outcomes. This contract role focuses on building sophisticated multi-agent systems that can independently sense, plan, act, and reflect—transforming how businesses operate through intelligent automation. You will work on goal-oriented agents that go beyond content generation to become true "digital business operators" capable of complex reasoning, multi-step workflow execution, and autonomous decision-making. Key ResponsibilitiesSystem Architecture & Development• Design and implement production-ready multi-agent systems using advanced orchestration frameworks • Build autonomous agents that can sense business context, plan workflows, execute tasks, and optimize based on outcomes • Develop agent-to-agent communication protocols and coordination strategies • Create scalable, maintainable agent architectures for complex business automation Advanced AI Implementation• Implement SPAR methodology (Sense, Plan, Act, Reflect) for autonomous agent reasoning • Build sophisticated retrieval-augmented generation (RAG) systems for context-aware agents • Develop agent memory management and long-term context retention systems • Create dynamic agent routing, escalation, and handoff mechanisms Business Integration & Optimization• Connect agent behaviors to measurable business metrics and outcomes • Implement real-time performance monitoring and agent optimization systems • Design outcome tracking mechanisms for continuous agent improvement • Build evaluation frameworks for agent decision-making quality and business impact Technical Leadership & Collaboration• Collaborate with technical leadership on strategic AI architecture and platform direction • Establish technical standards and development best practices for agentic AI systems • Provide technical expertise and knowledge transfer to existing engineering teams • Create comprehensive technical documentation for system maintainability Required QualificationsCore Experience• 5+ years of hands-on experience in AI/ML engineering and system development • 2+ years of experience specifically with Large Language Models (LLMs) and generative AI systems • Proven track record of building and deploying production AI systems at scale • Strong technical leadership experience on complex software projects Technical Skills - Must Have• Programming: Expert-level Python development with focus on AI/ML applications • AI Frameworks: Deep expertise with LangChain, LangGraph, or similar agent orchestration platforms • LLM Integration: Advanced experience with OpenAI GPT, Anthropic Claude, or equivalent models • Prompt Engineering: Sophisticated prompt design and optimization for complex agent behaviors • Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and embedding systems • System Design: Strong architectural skills for distributed, scalable AI applications Agent-Specific Expertise• Multi-Agent Systems: Experience designing systems where multiple AI agents collaborate and coordinate • Autonomous Reasoning: Understanding of agent planning, goal-setting, and decision-making frameworks • RAG Implementation: Production experience with retrieval-augmented generation and hybrid search strategies • Agent Communication: Knowledge of inter-agent protocols and coordination patterns