AI Platform Engineer

Job summary

The AI Platform Engineer is tasked with leading the development of foundational AI capabilities for the ATLAS ecosystem, focusing on AI-powered workflows and knowledge discovery. This role involves designing and implementing the AI platform, integrating Large Language Models (LLMs), and developing AI orchestration services while collaborating closely with Product Management and Engineering teams.

Qualifications

• Python development experience
• API and microservice development
• Experience working with LLMs
• Prompt engineering experience
• Cloud-native application development
• Distributed systems and service architectures
• Git-based development workflows

Responsibilities

• Design and develop ATLAS AI platform capabilities
• Build reusable AI services and frameworks
• Develop AI orchestration services for ATLAS applications
• Create scalable AI infrastructure and deployment patterns
• Develop AI Copilot capabilities for engineering workflows
• Build multi-agent workflows and orchestration frameworks
• Implement tool-use capabilities and workflow automation
• Design and implement enterprise RAG solutions
• Develop document indexing and semantic search capabilities
• Integrate knowledge graph technologies including Craxel
• Integrate Azure OpenAI and other foundation models
• Integrate ONNX Runtime into ATLAS workflows
• Build AI-focused APIs and microservices

Skills

Relocation