Senior Agentic AI Engineer

🕒 March 6

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 63%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rayda

WebsiteLinkedInAll Job Openings

11 - 50 employees

📦 Logistics

💼 Consulting

🏥 Healthcare

💰 Pre seed on 2023-02

Logistics • Consulting • Healthcare

Rayda is a SaaS platform that automates global employee device lifecycle management for companies. It handles procurement, pre-configuration, international shipping, tracking, maintenance, secure data wiping, retrieval, storage, insurance, and sustainable disposal across 170+ countries, enabling IT, HR, and operations teams to equip remote employees quickly and reliably. Rayda centralizes device tracking and documentation, reduces device-related tickets and costs, and accelerates onboarding and offboarding workflows for distributed, enterprise customers.

📋 Description

• Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business applications • Architect agentic workflows leveraging 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 LangGraph, CrewAI, AutoGen, and 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 for reliability and safety • Collaborate with product, engineering, and business teams on intelligent automation and AI-driven innovation • Drive technical leadership, architectural decisions, and AI best practices across the organization • Build autonomous AI agents capable of planning, reasoning, and taking actions across enterprise systems • Build multi-agent ecosystems for complex operational and customer challenges • Build intelligent workflow automation to improve productivity, efficiency, and business outcomes • Build production-ready agentic platforms that scale securely and reliably

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field • 7+ years of software engineering experience, including experience building scalable distributed systems • 3+ years of hands-on experience developing and deploying AI/ML solutions in production • Strong proficiency in Python and modern AI development frameworks • Demonstrated experience building AI agents, autonomous workflows, and agent orchestration systems • Expertise in Large Language Models (OpenAI, Anthropic, Gemini, Llama, Mistral, or equivalent) • Strong understanding of prompt engineering, tool calling, function execution, memory systems, and agent planning strategies • Experience with vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG) • Strong knowledge of APIs, microservices, CI/CD pipelines, Docker, and MLOps practices • Preferred: Experience with LangGraph, CrewAI, AutoGen • Preferred: Experience designing multi-agent collaboration systems and autonomous decision-making workflows • Preferred: Knowledge of AI governance, security, compliance, and responsible AI practices • Preferred: Experience with knowledge graphs, reinforcement learning, or advanced reasoning architectures • Preferred: Startup or high-growth technology company experience