AI Enablement Engineer

You'll be the first AI Enablement Engineer at Taktile, building the tools, integrations, and workflows that make every team faster and better at their job. Working closely with team leads across the company, you'll identify, build, and scale the AI workflows with the biggest impact.

What you'll do

• Find the highest-leverage workflows by embedding with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction.
• Build internal tools and agents end-to-end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into teams' daily workflows. Own scope, design, implementation, rollout, and iteration.
• Evolve AI architecture based on internal customer needs and tangible, measurable improvements.
• Drive adoption through hands-on workshops, pair sessions, and office hours to teach teams how to use what you ship. Measure success in real adoption and time saved.
• Partner with Security and IT on governance. Apply least-privilege principles from day one and build the guardrails that let us move fast on AI without exposing customer data or production systems.
• Stay on the frontier and bring the best new tools and models back into the business.

What you'll need

• 3+ years of professional software engineering experience, with a track record of shipping production systems end-to-end.
• Production-grade coding ability in Python in cloud-native environment.
• Hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals. You've shipped something real, not just experimented in a notebook.
• Strong SaaS API integration experience - REST, webhooks, OAuth, idempotency, and the messy realities of stitching real systems together.
• Exceptional communication and stakeholder skills with technical and non-technical operators alike.
• A bias for adoption over abstraction. You measure your work by who's using it next week, not by how elegant the architecture is.
• Fluent English, both written and spoken.

Nice to have

• Prior experience in a technical enablement, internal tools, DX, or platform engineering role.
• Experience integrating unstructured data into AI workflows.
• Familiarity with AI governance and data classification in a regulated industry.
• You've run workshops or internal trainings and enjoy doing them.

What they offer

• Work with Claude and modern AI tooling on internal-facing high-leverage problems.
• Python, AWS, Snowflake, dbt, Terraform stack.
• Hybrid role requiring at least 3 days per week from offices in Berlin, Iasi, or London.