Senior Autonomous AI Engineer (Remote)

Rayda Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Rayda Inc. is seeking a Senior Agentic AI Engineer to lead design, development, and deployment of autonomous AI systems that drive intelligent decision-making and workflow automation.

You will define Rayda's AI strategy and build agents capable of reasoning, planning, and acting across enterprise systems. The role requires 7+ years in software engineering, strong Python and AI frameworks skills, and hands-on production AI/ML experience.

Qualifications

• 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.

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.

Skills

Python proficiency

AI frameworks

LLM expertise

Agent orchestration

Prompt engineering

Memory systems

Planning strategies

APIs

CI/CD pipelines

MLOps practices

Education

Bachelor's or Master’s degree in CS/AI/SE

Tools

LangGraph

CrewAI

AutoGen

OpenAI Agents SDK

Vector databases

Embeddings

Semantic search

Docker

Job description

Rayda Inc. is seeking a Senior Agentic AI Engineer to lead design, development, and deployment of autonomous AI systems that drive intelligent decision-making and workflow automation.

You will define Rayda's AI strategy and build agents capable of reasoning, planning, and acting across enterprise systems. The role requires 7+ years in software engineering, strong Python and AI frameworks skills, and hands-on production AI/ML experience.