AI Enablement Engineer: Build Internal AI Tools & Adoption

Lindus Health; Berlin (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity and cash compensation

Self-development budget

Home office setup

Flat hierarchy with founder access

Job summary

Taktile is hiring an AI Enablement Engineer to develop internal tools and AI agents that streamline workflows across departments. You will own projects end-to-end, partnering with Engineering, GTM, and Ops to remove friction and scale impact.

Role focuses on practical AI enablement, adoption, and governance with a strong emphasis on security, data protection, and measurable time savings for teams.

Qualifications

• 3+ years of software engineering experience shipping production Python in cloud-native environments.
• Practical experience building with modern LLM tooling (agents, tool use, prompt engineering, MCP, and evals).
• Hands-on experience integrating SaaS APIs (REST, webhooks, OAuth) and handling complex integrations.
• Pragmatic mindset prioritizing tangible user adoption over complex architecture.
• Excellent written and spoken English skills.

Responsibilities

• Embed across Engineering, GTM, Customer Success, Finance, and Ops to identify AI-enabled workflows.
• Build internal tools and agents end-to-end, connecting SaaS stack to daily workflows.
• Drive adoption through workshops, pairing, and office hours with measurable outcomes.
• Partner with Security and IT to establish guardrails, access scoping, and audit trails.
• Track evolving AI landscape and bring high-value models/tools into the business.

Skills

Python

LLM tooling

REST APIs

English fluency

Tools

OAuth

Webhooks

APIs

Job description

Taktile is hiring an AI Enablement Engineer to develop internal tools and AI agents that streamline workflows across departments. You will own projects end-to-end, partnering with Engineering, GTM, and Ops to remove friction and scale impact.

Role focuses on practical AI enablement, adoption, and governance with a strong emphasis on security, data protection, and measurable time savings for teams.