Remote Senior Agentic AI Engineer for Autonomous Systems

Rayda; Polska; Hybrid; PLN 200,000 - 320,000; Full time

Job summary

Rayda is seeking a Senior Agentic AI Engineer to lead the design, development, and deployment of autonomous AI systems that drive intelligent decision-making and workflow automation. The role focuses on LLMs, AI agents, multi-agent orchestration, and production-grade AI platforms.

You will build scalable agentic workflows, integrate with enterprise systems, and contribute to Rayda's AI strategy while collaborating with product and engineering teams to deliver impactful automation across fixed

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• 7+ years of software engineering experience, including 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

Distributed systems

AI agents

LLMs

Embeddings

Vector databases

CI/CD

Docker

MLOps

Prompt engineering

Education

Bachelor's or Master's in CS/AI

Tools

LangGraph

CrewAI

AutoGen

OpenAI Agents SDK

Job description

Rayda is seeking a Senior Agentic AI Engineer to lead the design, development, and deployment of autonomous AI systems that drive intelligent decision-making and workflow automation. The role focuses on LLMs, AI agents, multi-agent orchestration, and production-grade AI platforms.

You will build scalable agentic workflows, integrate with enterprise systems, and contribute to Rayda's AI strategy while collaborating with product and engineering teams to deliver impactful automation across fixed