AI Enablement Engineer: Build Internal Tools & Automations

Taktile; Dublin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equity compensation

Self-development budget

Home office setup

Job summary

Taktile, a Dublin-based company, is seeking a Data Engineer (AI Enablement) to build internal tools and AI-driven workflows that scale across Engineering, GTM, and Ops. You will own end-to-end projects, integrating SaaS APIs and ensuring secure, auditable data practices.

You will work with modern LLM tooling, develop with Python in cloud-native environments, and collaborate with security teams to establish guardrails while driving real user adoption.

Qualifications

• 5+ 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 where AI can remove the most operational friction.
• Build internal tools and agents end-to-end, connecting Taktile’s SaaS stack to daily employee workflows.
• Drive real adoption through workshops, pairing, and office hours—measuring success by active usage and time saved rather than features shipped.
• Partner with Security and IT to establish guardrails, access scoping, and audit trails that protect customer data.
• Track the evolving AI landscape, bringing high-value models and tools back into the business.

Skills

Python

LLM tooling

API integrations

English communication

Tools

REST APIs

OAuth

webhooks

Job description

Taktile, a Dublin-based company, is seeking a Data Engineer (AI Enablement) to build internal tools and AI-driven workflows that scale across Engineering, GTM, and Ops. You will own end-to-end projects, integrating SaaS APIs and ensuring secure, auditable data practices.

You will work with modern LLM tooling, develop with Python in cloud-native environments, and collaborate with security teams to establish guardrails while driving real user adoption.