AI Gen Apps
Machine Learning Engineer
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Company Description
AI Gen Apps builds generative AI-powered applications that help businesses create, automate, and scale digital products faster. We combine large language models, retrieval systems, and modern software engineering to ship production-ready AI features for our clients. Our team collaborates across time zones in a fast-paced, experimentation-driven environment where new ideas are tested quickly and iterated on often.
Role Description
We're looking for a Machine Learning Engineer to design, build, and deploy generative AI applications, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and AI agents. You'll work closely with product and engineering teams to take ideas from prototype to production, fine-tune and evaluate models, optimize inference performance and cost, and monitor models once they're live. This is a full-time, remote role based in the London area.
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Responsibilities
- Design, build, and deploy generative AI applications and LLM-powered features end-to-end, from prototype to production.
- Build and maintain RAG pipelines, prompt engineering workflows, and AI agent systems.
- Fine-tune, evaluate, and benchmark large language models and other generative models for accuracy, latency, and cost.
- Collaborate with product, engineering, and design teams to translate business needs into working AI features.
- Monitor deployed models in production, troubleshoot issues, and continuously improve performance and reliability.
- Maintain clear documentation of models, pipelines, and experiments.
Qualifications
- Experience building and deploying machine learning or generative AI applications in production.
- Hands-on experience with LLMs (e.g., OpenAI, Anthropic, or open-source models) and frameworks such as LangChain or LlamaIndex.
- Strong Python skills and familiarity with ML frameworks (PyTorch, TensorFlow, or scikit-learn).
- Experience with RAG, vector databases, prompt engineering, or fine-tuning techniques.
- Understanding of MLOps practices and cloud platforms (AWS, GCP, or Azure).
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
- Ability to work independently and communicate clearly in a remote, distributed team.
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Salary & Benefits
Salary range: £100,000-£150,000 per year, depending on experience.
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