AI Software Engineer

Role: Software Engineer – Generative AI Solutions
Location: London, UK (Onsite)
Contract Type: 6-Month Contract
Rate: Market Rates (Inside IR35)

About the Role
We are seeking a Software Engineer experienced in Generative AI (GenAI) to join a forward-thinking technology team working on global-scale AI initiatives. This is a hands-on engineering role focused on building and deploying GenAI products, fine-tuning Large Language Models (LLMs), and implementing RAG (Retrieval-Augmented Generation) solutions to support global supply chain systems.

The successful candidate will design and implement scalable, secure, and efficient GenAI applications — working closely with data scientists, engineers, and business teams to bring cutting-edge AI innovation into production.

Key Responsibilities

• Design, develop, and implement Generative AI solutions and AI agents for enterprise environments.
  
  
• Fine-tune and deploy LLMs and Graph RAG models in production environments.
  
  
• Build and optimize data systems, pipelines, and AI application architectures.
  
  
• Prototype and test GenAI solutions in collaboration with data science and UX teams.
  
  
• Ensure all AI systems comply with security, compliance, and governance standards.
  
  
• Implement LLMOps and scalable deployment processes.
  
  
• Collaborate across multidisciplinary teams to identify and operationalize AI opportunities.
  
  Required Skills & Experience
  
  
• MSc or PhD in Computer Science, Engineering, Data Science, Applied Mathematics, or related field.
  
  
• 5+ years’ experience across AI domains (e.g., NLP, NLG, ML, Computer Vision, or Generative AI).
  
  
• Hands-on experience in fine-tuning or training LLMs and developing RAG-based applications.
  
  
• Strong knowledge of Azure AI ecosystem, including Databricks, Azure ML, Azure Functions, Data Factory, Synapse, and Azure OpenAI.
  
  
• Proficiency in Python (preferred) or Java, Scala, R, or .NET/C#.
  
  
• Experience building and deploying data pipelines and AI APIs.
  
  
• Solid understanding of SQL/NoSQL databases, data modeling, and analytics.
  
  
• Familiarity with CI/CD pipelines, MLOps, and containerization (Docker/Kubernetes).
  
  Desirable Skills
  
  
• Exposure to LLMOps frameworks and AI agent orchestration tools.
  
  
• Hands-on with Databricks, Azure AI Search, and cloud-native architecture.
  
  
• Strong analytical, problem-solving, and communication skills.
  
  
• Ability to present technical insights clearly to both technical and non-technical audiences