Artificial Intelligence Engineer

Cluster365 designs and deploys customized AI employees that automate business workflows. The Artificial Intelligence Engineer will design, build, and deploy intelligent AI agents and generative AI systems, including production architecture, LLM orchestration, backend services, and integrations.

Responsibilities:

• Architect and implement autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, and multi-step task execution
• Design agent workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools
• Implement memory systems, retrieval pipelines, and tool integrations
• Build robust Python-based backend services that integrate with LLM APIs and internal systems
• Develop scalable architectures for AI features (REST APIs, microservices, serverless functions)
• Ensure reliability, performance, observability, and cost optimization of AI services
• Design complex prompt chains and structured output pipelines
• Implement RAG (Retrieval-Augmented Generation) systems using vector databases
• Create evaluation frameworks to measure model performance, hallucination rate, and business impact
• Work closely with Product teams to translate business problems into AI-driven solutions
• Collaborate with Engineering to deploy AI services into production environments
• Align AI solutions with compliance, safety, and governance standards
• Stay at the forefront of LLM advancements, agentic architectures, and emerging AI tooling
• Prototype and test new approaches to improve automation, reasoning accuracy, and system intelligence
• Continuously improve system performance through experimentation and evaluation