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Senior Agentic AI Engineer

Raydaβ€’United Statesβ€’πŸŒ Remote
Full-time7-15
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 10/27/2026β€’Expires 12/26/2026
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Job Description

This is a remote position. Job Title: Senior Agentic AI Engineer Rayda is looking for an exceptional Senior Agentic AI Engineer to lead the design, development, and deployment of autonomous AI systems that drive intelligent decision-making, workflow automation, and next-generation user experiences.

This role is ideal for an engineer with deep expertise in Large Language Models (LLMs), AI agents, multi-agent architectures, orchestration frameworks, and production-grade AI systems.

You will play a critical role in defining Rayda 's AI strategy and building intelligent agents that can reason, plan, act, and collaborate to solve complex business challenges.

Key Responsibilities

Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business applications. Architect agentic workflows that leverage planning, reasoning, memory, tool usage, and autonomous execution.

Build and optimize Retrieval-Augmented Generation (RAG) systems, knowledge retrieval pipelines, and vector database integrations. Develop scalable agent orchestration frameworks using tools such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK.

Integrate AI agents with internal systems, APIs, databases, enterprise platforms, and third-party tools. Implement agent evaluation, monitoring, observability, and guardrail mechanisms to ensure reliability and safety.

Collaborate with product, engineering, and business teams to identify opportunities for intelligent automation and AI-driven innovation. Drive technical leadership, architectural decisions, and AI best practices across the organization.

What You'll Build Autonomous AI agents capable of planning, reasoning, and taking actions across enterprise systems. Multi-agent ecosystems that collaborate to solve complex operational and customer challenges. Intelligent workflow automation that improves productivity, efficiency, and business outcomes.

Production-ready agentic platforms that scale securely and reliably.

Requirements

Required

Required Skills

Large Language Models (LLMs)AI agentsMulti-agent architecturesOrchestration frameworksProduction-grade AI systemsRetrieval-Augmented Generation (RAG) systemsKnowledge retrieval pipelinesVector database integrationsLangGraphCrewAIAutoGenOpenAI Agents SDKJSONAPIsDatabasesEnterprise platformsThird-party tools

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