Remote AI Coach - Agentic Engineering & Enablement

Wire IT; Almada; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

No-term full-time contract

Health Insurance

22 days of paid vacation

4 extra days annually (Carnival, X-Mas

Meal Allowance on card (Coverflex)

Referral Bonus

Special discounts and flex options

Training annual budget

A great team-oriented culture

Chance to become a part of a dynam..

Challenging projects giving the unique

Job summary

Wire IT in Portugal is seeking an AI Coach - Agentic Engineering to join a senior, product-focused team working remotely. You will shape and deploy agentic AI capabilities, collaborate with engineering teams, and drive adoption of new platforms at scale across digital retail and eCommerce environments.

The role requires deep software engineering background, 6+ years, experience with orchestration frameworks, Kubernetes, Kafka, and MCP tooling, plus a passion for enabling teams through workshops

Qualifications

• Minimum of 6 years of professional software engineering experience.
• Experience with agent orchestration frameworks and agentic development platforms.
• Experience with MCP-based tooling and integrations.
• Experience creating reusable AI workflows, engineering accelerators, or developer productivity tooling.
• Experience helping teams adopt new technologies and engineering practices at scale, including running workshops, communities of practice, or technical enablement programmes.

Skills

Software engineering

Agent orchestration

Agentic platforms

MCP tooling

AI workflows

Workshops enablement

Kubernetes

Kafka

Distributed systems

Cloud-native

Tools

MCP tooling

Cloud-native platforms

Kafka

Event-driven architectures

Job description

Wire IT in Portugal is seeking an AI Coach - Agentic Engineering to join a senior, product-focused team working remotely. You will shape and deploy agentic AI capabilities, collaborate with engineering teams, and drive adoption of new platforms at scale across digital retail and eCommerce environments.

The role requires deep software engineering background, 6+ years, experience with orchestration frameworks, Kubernetes, Kafka, and MCP tooling, plus a passion for enabling teams through workshops