LLM EngineermidremotefulltimeArtificial Intelligence, Software Development, and IT Services and IT ConsultingPythonPyTorchTensorFlowRAGVector databasesLangChainLlamaIndexKubernetesposted 08 Jul
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AI/ML Engineer
Fully remote, global. Any time zone. Fluent English required.
Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250 and Fortune 500 clients. We're scaling fast. Every client programme needs someone who can build the model, ship it and keep it running once real people depend on it.
The reality of this role
This isn't a notebook full of experiments. What you build has to run inside a live enterprise environment, under load, with a client watching the outcome rather than the code. You'll build and fine-tune models, design RAG pipelines, and get agentic systems from a working demo to something that holds up in production. When it breaks at 2am in a client's time zone, you're the one who understands why.
What you'll own
* Design and development of LLM and ML systems for client deployments
* RAG pipelines, vector search and retrieval architecture
* Fine-tuning and evaluation of models against real production data
* Deployment, monitoring and reliability once a model is live
* Agent architectures that go from proof of concept to dependable production systems
* Technical input into what's realistic to promise a client, and what isn't
Who you are
* You've shipped models to production, not just built them in a notebook
* Strong in Python, plus PyTorch or TensorFlow
* Hands-on with RAG, vector databases (Pinecone, Weaviate, Milvus or pgvector) and orchestration frameworks like LangChain or LlamaIndex
* Comfortable with the production stack: Docker, Kubernetes, CI/CD, model serving and monitoring
* Experience with at least one major cloud ML platform (AWS SageMaker, Azure ML or Google Vertex AI)
* Fluent English, comfortable working async across a globally distributed team
Where you're coming from
AI Engineer, ML Engineer or Applied Scientist at a scale-up, tech giant or AI consultancy. You've built things that worked in a demo. Now you want to build things that hold up in front of a board.
What we're offering
* Real production ownership on live enterprise AI systems, not pilots
* Fully remote, work from anywhere, any time zone
* Direct exposure to FTSE 100, FTSE 250 and Fortune 500 clients
* Competitive package to include equity
If you'd rather ship something real than polish another prototype, we should talk.
Message me, Farah, directly or apply.
PLEASE NOTE I personally review every CV, message and email I receive regarding our vacancies. While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.