Senior Agentic AI Engineer

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 Qualifications

• 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 Qualifications

• Experience with LangGraph, CrewAI, AutoGen.
  

• Experience designing multi-agent collaboration systems and autonomous decision-making workflows.
  

• Knowledge of AI governance, security, compliance, and responsible AI practices.
  

• Experience with knowledge graphs, reinforcement learning, or advanced reasoning architectures.
  

• Startup or high-growth technology company experience.