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.