Principal AI Engineer

10+ years in software engineering or systems architecture 1+ years focused on AI/ML, LLMs, and agentic systems Full stack development experience Deep technical expertise with Foundational models APIs, AWS Bedrock, N8N, Open Source Models, LangChain or similar Proven experience building and deploying AI infrastructure, including evaluation frameworks, monitoring, and agentic workflows Hands-on experience with vector databases, RAG systems, and context management for LLMs Strong proficiency in Python and TypeScript Experience integrating APIs and orchestration tools Familiarity with cloud infrastructure (AWS), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation) Experience fine-tuning LLMs Excellent communication and presentation skills

Architect, build, and maintain Jump’s internal AI platform Standardize and automate internal tooling for AI agents and workflows Design and deploy RAG systems, vector databases and other foundational components Define best practices for evaluation and benchmarking of models and agentic workflows Develop templates and libraries for agentic workflows, memory, and tool use Partner with the engineering organization to integrate AI agents and features into Jump’s products Ensure reliability, observability, and scalability of AI systems Act as an AI subject matter expert, running workshops and demos Lead rapid experimentation initiatives Partner cross-functionally to design and deploy AI automations Maintain an internal AI playbook Mentor engineers and product teams on effective use of LLMs