Senior AI Enablement Engineer: Build & Train Internal Agents

Tenarai Europe; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Office in Kraków

Onsite parking

Referral program with financial bonus

Life Insurance

Development budget (language courses,…

Internal Learning Platform

Team building activities

Diversity and inclusion

Multisport

Job summary

Tenarai Europe seeks an experienced Senior/Lead engineer to own end-to-end delivery of AI agents and LLM-based solutions for internal use. You will run enablement activities, including sessions and reusable materials, while supporting internal customers.

Ideal candidates will have hands-on experience with LLMs, agent frameworks, and orchestration, plus strong communication skills for both written and live explanations. GCP and GitHub workflows are part of the daily environment.

Qualifications

• Senior or Lead level engineer able to own delivery end-to-end without supervision.
• Practical experience building with LLMs, agent frameworks or orchestration, beyond prototyping.
• Comfortable explaining technical work to engineers who have not used it before, in writing and live.
• Working knowledge of GCP and GitHub-based development workflows.

Responsibilities

• Build and ship AI agents and LLM-based solutions for internal use.
• Run the technical side of enablement: sessions, walkthroughs, examples and reusable material for adoption by others.
• Act as the point of contact for internal teams adopting these solutions, from first question to working implementation.
• Work in GCP and GitHub as the standard environment.

Skills

Senior/Lead level

LLM/AI experience

Communication (writing)

Tools

GCP

GitHub workflows

Job description

Tenarai Europe seeks an experienced Senior/Lead engineer to own end-to-end delivery of AI agents and LLM-based solutions for internal use. You will run enablement activities, including sessions and reusable materials, while supporting internal customers.

Ideal candidates will have hands-on experience with LLMs, agent frameworks, and orchestration, plus strong communication skills for both written and live explanations. GCP and GitHub workflows are part of the daily environment.