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
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Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business applications.
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Architect agentic workflows that leverage planning, reasoning, memory, tool usage, and autonomous execution.
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Build and optimize Retrieval-Augmented Generation (RAG) systems, knowledge retrieval pipelines, and vector database integrations.
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Develop scalable agent orchestration frameworks using tools such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK.
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Integrate AI agents with internal systems, APIs, databases, enterprise platforms, and third-party tools.
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Implement agent evaluation, monitoring, observability, and guardrail mechanisms to ensure reliability and safety.
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Collaborate with product, engineering, and business teams to identify opportunities for intelligent automation and AI-driven innovation.
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Drive technical leadership, architectural decisions, and AI best practices across the organization.
What You'll Build
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Autonomous AI agents capable of planning, reasoning, and taking actions across enterprise systems.
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Multi-agent ecosystems that collaborate to solve complex operational and customer challenges.
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Intelligent workflow automation that improves productivity, efficiency, and business outcomes.
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Production-ready agentic platforms that scale securely and reliably.
Requirements
Required Qualifications
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
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7+ years of software engineering experience, including experience building scalable distributed systems.
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3+ years of hands-on experience developing and deploying AI/ML solutions in production.
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Strong proficiency in Python and modern AI development frameworks.
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Demonstrated experience building AI agents, autonomous workflows, and agent orchestration systems.
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Expertise in Large Language Models (OpenAI, Anthropic, Gemini, Llama, Mistral, or equivalent).
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Strong understanding of prompt engineering, tool calling, function execution, memory systems, and agent planning strategies.
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Experience with vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG).
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Strong knowledge of APIs, microservices, CI/CD pipelines, Docker, and MLOps practices.
Preferred Qualifications
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Experience with LangGraph, CrewAI, AutoGen.
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Experience designing multi-agent collaboration systems and autonomous decision-making workflows.
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Knowledge of AI governance, security, compliance, and responsible AI practices.
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Experience with knowledge graphs, reinforcement learning, or advanced reasoning architectures.
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Startup or high-growth technology company experience.
Originally posted on Himalayas
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