Project Description:
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.
Location & Work Arrangement:
* Hybrid: 2 days per week in the office in London or Edinburgh ;
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.
Skills Description:
* 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.
Luxoft is committed to fostering a diverse and inclusive workplace.
We show fairness to all throughout our talent acquisition and management process.