Artificial Intelligence Engineer

Gazelle Global; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Gazelle Global is seeking an hands-on AI engineer for an enterprise-grade platform program focused on secure, scalable Generative AI and ML capabilities. You will design and implement domain-specific AI solutions, turning platform services into practical AI-driven business capabilities across enterprise applications and workflows.

You’ll build RAG pipelines, craft prompt strategies with guardrails, configure agent orchestration patterns, and work with SMEs to refine domain behavior while

Qualifications

• Hands-on experience with LLM APIs and large language models.
• Experience with production-grade RAG or agent-based systems.
• Strong API integration skills across services.
• Expertise in prompt engineering and implementing guardrails.
• Experience evaluating AI outputs and mitigating hallucinations.
• Knowledge of agent orchestration and workflow design.

Responsibilities

• Build RAG pipelines and knowledge retrieval workflows.
• Design prompt strategies and implement guardrails.
• Configure agent workflows and reusable orchestration patterns.
• Collaborate with SMEs to refine domain behavior.
• Conduct evaluation and optimize AI capabilities.
• Develop AI-driven business functionality using platform services.
• Share reusable AI patterns with the platform team.

Skills

LLM API

Production RAG/Agent-based systems

API integration

Prompt engineering

AI evaluation & hallucination mitig

Agent orchestration

Job description

Join an enterprise-grade AI platform programme focused on delivering secure, scalable and production-ready Generative AI and ML capabilities. This hands‑on role focuses on turning platform services into practical AI-driven business capabilities across enterprise applications, workflows and SDLC processes.

You’ll design and implement domain‑specific AI solutions, working closely with SMEs and platform teams to develop reliable RAG, agent orchestration and AI logic. The role also involves structured evaluation and continuous improvement to ensure AI services perform effectively within established platform standards.

Key responsibilities:

• Build RAG pipelines and knowledge retrieval workflows.
• Design prompt strategies and implement appropriate guardrails.
• Configure agent workflows and reusable orchestration patterns.
• Work with subject matter experts to refine domain behaviour.
• Conduct structured evaluation and iteratively improve AI capabilities.
• Develop AI-driven business functionality using established platform services.
• Contribute reusable AI patterns and approaches back to the wider platform.

Key Skills:

• Hands‑on LLM API experience
• Production RAG or agent‑based systems
• Strong API and integration skills
• Prompt engineering and AI guardrails
• AI evaluation and hallucination mitigation
• Agent orchestration