AI Engineer (Python)

Job description

About this role

As the AI Engineer, you will be responsible for designing, building, deploying, and operating an internal multi-agent AI system that automates complex knowledge-based workflows. You will own the AI system end-to-end, from architecture and development through deployment, integration, monitoring, and continuous improvement. Working directly with leadership, you will translate business requirements into reliable AI solutions while ensuring appropriate governance, security, auditability, and human oversight.

Responsibilities

• Design, build, and maintain production-ready multi-agent AI systems.
• Develop AI solutions that automate research, content, and business development workflows.
• Architect scalable agent workflows with appropriate human oversight and governance.
• Define engineering standards and best practices for AI system development.
• Own the long-term operation, maintenance, and continuous improvement of AI systems.
• Build and maintain Retrieval-Augmented Generation (RAG) systems using vector databases.
• Develop knowledge retrieval workflows using embeddings, semantic search, and retrieval optimization.
• Evaluate retrieval quality and continuously improve knowledge system performance.
• Create governed AI knowledge systems designed to provide reliable information.
• Integrate AI systems with existing business platforms through APIs and webhooks.
• Connect AI workflows with CRM systems, communication platforms, scheduling tools, and content platforms.
• Build reliable integrations that allow AI systems to interact with existing business processes.

Qualifications and requirements

• 3-5 years of professional software engineering experience.
• Recent hands-on experience building and deploying LLM-based or agentic AI systems into production.
• Experience owning technical systems from architecture and development through deployment and ongoing maintenance.
• Demonstrated ability to independently design, build, and maintain production applications.
• Previous experience working with healthcare data is a requirement
• Has strong Python programming experience and can use Python to develop production-ready AI applications and supporting systems.
• Experience with Azure AI is a must.
• Has hands-on experience with AI agent and workflow orchestration frameworks such as LangGraph, LangChain, or similar technologies.
• Understands event-driven architectures and can apply them when designing scalable AI workflows and integrations.
• Has strong experience working with LLM APIs, prompt engineering, tool calling, structured outputs, and AI evaluation methods.
• Can build and consume REST APIs, webhooks, and third-party integrations to connect AI applications with existing business systems.
• Has hands-on experience implementing Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, semantic retrieval, and retrieval quality evaluation.
• Can monitor, troubleshoot, and debug AI applications operating in production environments.