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 Raydas AI strategy and building intelligent agents that can reason plan act and collaborate to solve complex business challenges.

• 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.
  

• 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.
  

• Bachelors or Masters 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.
  

• 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.