Agentic AI Engineer — Production-Scale Systems

Intec Select Limited; United Kingdom; On-site; GBP 101,000 - 120,000; Full time

Job summary

Intec Select Limited partners with a large global education technology organisation to hire an experienced Agentic Forward Deployed Engineer. You will embed with engineering and governance teams to design production-grade agentic AI systems at enterprise scale.

This hands-on role covers AI security, evaluation, guardrails, governance and cost monitoring, with a focus on building reusable reference implementations and mentoring engineering teams.

Qualifications

• Proven experience building and operating agentic systems in production.
• Hands-on knowledge of AI security, evaluation and guardrails.
• Experience deploying AI within complex enterprise environments.
• Strong software engineering and architecture fundamentals.
• Excellent stakeholder management and technical coaching skills.

Responsibilities

• Design and implement production agentic AI systems and coding-agent workflows
• Establish best practices for LLM evaluation, red-teaming and AI guardrails
• Define governance around agent behaviour, oversight, auditability and security
• Address risks including prompt injection, permissions, data boundaries and secrets management
• Build reusable reference implementations for AI-native products and agentic services
• Introduce AI cost monitoring, observability and model-usage controls
• Work closely with engineering, architecture, security and governance teams
• Coach engineering teams and establish long-term internal AI capability

Skills

Agentic systems

AI security

LLM evaluation

Enterprise deployment

Software architecture

Job description

Intec Select Limited partners with a large global education technology organisation to hire an experienced Agentic Forward Deployed Engineer. You will embed with engineering and governance teams to design production-grade agentic AI systems at enterprise scale.

This hands-on role covers AI security, evaluation, guardrails, governance and cost monitoring, with a focus on building reusable reference implementations and mentoring engineering teams.