GenAI Engineer (Backend & Agent Systems)

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Role Overview

We are looking for an engineer who can combineGenAI expertise, backend development, and cloud engineeringto enhance and scale our Agent Builder platform. You will work hands-on withOpenAI models deployed on Azure, building multi-agent workflows and backend services that enable safe, reliable, healthcare-grade AI systems.

This role sits at the core of our platform team, working on the foundation that letsAI agents build and interact with other AI agents.

What You'll Do

GenAI & Agent Engineering

• Develop and optimize prompts, system instructions, and multi-agent orchestration strategies
• Build reusable agent templates, persona definitions, and interaction protocols
• Evaluate and fine-tune agent performance for safety, consistency, and reasoning quality
• Integrate OpenAI models (Azure OpenAI Service) and tools in production systems

Backend Engineering

• Design and maintain backend services supporting the Agent Builder (Python/FastAPI or Node.js)
• Implement integrations with Azure OpenAI, Azure Functions, Azure Storage, and vector databases
• Build pipelines for model evaluation, monitoring, and safety checks
• Ensure backend infrastructure is secure, scalable, and production-ready

Collaboration & Product Development

• Work with product, research, clinical, and data teams to translate requirements into agentic workflows
• Prototype and experiment with new multi-agent capabilities
• Contribute to both early research prototypes and production-grade features

Skills

• Experience with LLMs, prompt engineering, or multi-agent systems
• Strong backend engineering skills (Python/FastAPI, Node.js, or similar)
• Direct experience with Azure Functions, or Azure cloud services
• Familiarity with RAG, vector stores (e.g., Azure AI Search, Pinecone), and embeddings
• Comfortable working in a fast-paced startup environment
• Bonus: Experience in healthcare, digital health, life sciences, or regulated domains

Why Join Arkus.ai?

• Work on technology that directly improves clinical workflows and patient outcomes
• Build cutting-edge, production-grade multi-agent systems with real-world impact
• Collaborate with a multidisciplinary team across AI, medicine, and engineering
• Contribute to a platform built on Azure and OpenAI that is shaping the future of intelligent healthcare
• High ownership, autonomy, and opportunity to influence the direction of our agent architecture