AI Enablement Engineer
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonRESTful APIsJSONLLM
Requirements
- 5+ years of experience in software engineering, platform engineering, or AI/automation-focused development roles
- Strong hands-on experience with AI systems, particularly Anthropic Claude or similar LLM-based tools
- Proficiency in Python
- Experience working with REST APIs, webhooks, JSON, and system integrations
- Demonstrated ability to design reusable systems and scalable architectures
- Experience building internal tools, automation workflows, or platform-level engineering solutions
- Strong understanding of secure software development practices, secrets management, and data protection principles
- Awareness of AI security risks such as prompt injection, data leakage, and misuse of LLM outputs
- Excellent communication skills
- Ability to operate independently and manage a roadmap
Responsibilities
- Build and evolve an internal AI platform composed of reusable tools, integrations, workflows, and AI-enabled systems
- Partner with cross-functional teams to identify needs and translate them into scalable AI solutions
- Own and execute a clear product roadmap for internal AI capabilities
- Develop integrations between AI systems and internal tools using APIs, webhooks, MCP connectors, and automation frameworks
- Design reusable AI patterns and workflows that replace fragmented, one-off solutions
- Lead internal enablement efforts including training sessions, documentation, onboarding, and AI adoption programs
- Contribute to AI governance, security, and usage policies
- Continuously refine and improve internal AI tools based on user feedback
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