AI Operations Engineer

Summary

Join IFT, a mission-driven startup studio, as their AI Operations Engineer. This key role involves supporting the deployment, management, and coordination of AI-driven tools and systems across various projects. You will work hands-on to ensure smooth AI system functionality, collaborating with engineering, research, and operations teams. This position offers a unique opportunity to work with cutting-edge AI applications, including AI agents for financial summaries and automated onboarding. You will help implement these pilots and capture success metrics. The ideal candidate possesses a strong technical background, a passion for decentralization, and experience with AI/ML concepts and software tooling.

Requirements

• 3–7 years in technical operations, DevOps, or IT with hands-on exposure to software tooling and automation workflows
• Strong technical grounding: able to grasp key AI/ML concepts, data structures, APIs, and system architecture
• Experience in, and/or a passion for Web3 & Blockchain technology
• High emotional intelligence and proven stakeholder relationship management skills; comfortable interfacing with both deeply technical and non-technical contributors at IFT
• Curiosity and humility, you should be willing to unlearn conventional ops models to help shape a native-AI org
• Understanding of modern LLM tooling and platforms — e.g. LangChain, OpenAI APIs, vector databases (like Pinecone, Weaviate), and orchestration tools (e.g., LangGraph, AutoGen)
• Strong organizational skills and operational intuition

Responsibilities

• Implement and support day-to-day operations of AI tools across multiple teams
• Manage and monitor AI agents in production environments
• Build and maintain pipelines for model deployment and iteration
• Interface with engineering, research, and operations teams to identify high-impact AI opportunities
• Help teams articulate their needs and translate them into scalable AI workflows
• Prioritise AI tasks by mapping them to real operational pain points
• Create documentation and support feedback loops for internal tools
• Continuously evaluate and improve AI tool performance and user experience
• Help build the systems and culture of an “AI-native” organisation

Preferred Qualifications

Previous experience working in agile, iterative, and distributed environments

Benefits

• The expected compensation range for this role is $60,000 - $90,000 USD annually (negotiable, dependent on how we assess your skills and experience throughout our interview process)
• We are happy to pay in any mix of fiat/crypto