GenAI Engineer

Luxoft; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology consulting firm in the UK is seeking skilled Generative AI Engineers to design and deploy cutting-edge AI solutions using LLMs and Transformers. Responsibilities include building and fine-tuning applications like intelligent chatbots and document generators. Candidates should have strong programming skills, preferably in Python, and experience with cloud platforms like AWS or Azure. A Bachelor's or Master's degree in a related field is required. This role presents an exciting opportunity to work on impactful AI use cases.

Qualifications

• Strong programming skills in Python, with experience in Java or Node.js.
• Hands-on experience with LLMs, Transformers, and Diffusion models.
• Experience with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Design, prototype, and deploy Generative AI models for enterprise use cases.
• Integrate AI models with enterprise systems using Python, Java, or Node.js.
• Optimize inference performance and cost through model compression and API optimization.

Skills

Python programming

LLMs and Transformers

Problem-solving

Cloud platforms

Stakeholder engagement

Education

Bachelor's or Master's degree in Computer Science/AI/ML/Data Science

Tools

MLflow

Hugging Face Transformers

Vertex AI

Azure ML

Job description

Responsibilities

• Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases.
• Build and fine‑tune LLM‑based applications such as: Chatbots, Document Q&A systems, Report generators, Code assistants, Summarization tools.
• Apply prompt engineering, Retrieval‑Augmented Generation (RAG), and context‑aware pipelines to enhance model accuracy and relevance.
• Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js.
• Collaborate with architects to define scalable, secure, and cost‑efficient AI service architectures.
• Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML.
• Monitor model performance, detect drift, and drive continuous improvement.
• Optimize inference performance and cost through model compression, quantization, and API optimization.
• Ensure compliance with AI ethics, security, and governance standards.
• Prepare and curate training datasets (structured/unstructured text, images, code).
• Apply data preprocessing, tokenization, and embedding generation techniques.
• Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval.
• Partner with business stakeholders to identify and shape impactful AI use cases.
• Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components.
• Support POCs, pilots, and full‑scale implementations using agile methodologies.
• Document and present solution designs, technical findings, and outcomes to leadership and clients.

We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting‑edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise‑grade applications such as intelligent chatbots, document summarization, code assistants, and more.

Qualifications

• Strong programming skills in Python (preferred), with experience in Java or Node.js.
• Hands‑on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models.
• Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning.
• Familiarity with RAG pipelines, embedding models, and vector databases.
• Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services.
• Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Strong understanding of data engineering, data pipelines, and ETL workflows.
• Excellent problem‑solving, communication, and stakeholder engagement skills.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.