Applied AI Engineer / Forward-Deployed AI Engineer

Applied AI Engineer / Forward-Deployed AI Engineer

We’re looking for an Applied AI Engineer who can design, build, and deploy real-world AI solutions — not just prototypes.

This role suits someone who enjoys solving complex business problems with modern AI, cloud, software engineering, and machine learning tools. You’ll work closely with technical and non-technical stakeholders to turn ideas into reliable, scalable, production-ready systems.

What you’ll be doing:

• Building AI-powered applications using LLMs, RAG, agents, and automation workflows
• Designing scalable solutions across cloud, data, and software platforms
• Developing production-grade Python services, APIs, and integrations
• Taking AI/ML solutions from discovery through to deployment
• Working with stakeholders to understand problems and shape practical technical solutions
• Supporting best practice across security, reliability, monitoring, and governance
• Helping teams move from AI experimentation to measurable business impact

Skills we’re looking for:

• Strong experience in AI engineering, ML engineering, software engineering, platform engineering, or cloud delivery
• Hands-on experience with LLMs, RAG, agentic workflows, or applied GenAI solutions
• Strong Python experience, ideally with APIs, FastAPI, serverless, or event-driven systems
• Cloud experience across Azure, AWS, or GCP
• Understanding of MLOps, CI/CD, model deployment, monitoring, or production support
• Ability to communicate clearly with technical and business stakeholders
• A delivery-focused mindset and confidence working in fast-moving environments

Useful experience:

• Vector databases, embeddings, retrieval pipelines, prompt engineering, or LLM frameworks
• Azure ML, AWS SageMaker, Vertex AI, Databricks, or similar platforms
• Docker, Kubernetes, Terraform, CI/CD, and cloud-native architecture
• React, Next.js, or front-end engineering exposure
• Experience working in consulting, SaaS, scale-up, enterprise, or client-facing environments

The ideal person

You’ll be someone who is excited by applied AI but understands the reality of making it work in production: performance, security, reliability, governance, user adoption, and commercial value.

This is a strong opportunity for an engineer who wants to work on practical AI solutions that solve genuine business problems and make a visible impact.

Please apply for immediate consideration.