AI Engineer

We are looking to hire an experienced AI Engineer to design, build, and deploy advanced AI solutions across a modern software platform. You will work with Large Language Models (LLMs), Generative AI, Agentic AI, and real-time AI technologies, helping to deliver production-ready AI capabilities within a collaborative engineering environment., * Building and deploying LLM, Generative AI, and Agentic AI solutions into production environments

• Developing multi-agent workflows to automate complex business processes
• Implementing AI orchestration using modern frameworks and the Model Context Protocol (MCP)
• Designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector databases
• Building scalable AI services and data processing pipelines using Python
• Developing real-time AI applications, including streaming and speech-enabled solutions
• Integrating AI capabilities into existing backend and frontend systems
• Optimising prompts and AI workflows to improve accuracy, reliability, and performance
• Collaborating with engineering, product, and domain experts to deliver impactful AI solutions
• Researching, evaluating, and implementing emerging AI technologies and best practices

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

• 5+ years of commercial software development experience
• Strong programming expertise in Python, Java, and JavaScript
• Proven experience building and deploying production-grade LLM applications
• Commercial experience developing Generative AI and Agentic AI solutions
• Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases
• Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar
• Experience designing, evaluating, and optimising prompts for Large Language Models
• Experience deploying AI solutions into cloud environments, ideally Azure
• Strong understanding of software engineering best practices and scalable system design, * Experience building multi-agent workflows and autonomous AI systems
• Knowledge of the Model Context Protocol (MCP) and AI integration patterns
• Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search
• Experience working with OpenAI and other leading foundation models
• Knowledge of real-time AI pipelines, including speech-to-text and streaming AI applications
• Experience with technologies such as Pipecat, Daily, Deepgram, or similar real-time AI frameworks would be advantageous
• Experience integrating AI capabilities into enterprise backend and frontend applications
• Strong problem-solving skills with the ability to deliver practical, production-ready AI solutions
• A passion for learning emerging AI technologies and rapidly adopting new frameworks and tools
• Excellent communication skills and the ability to collaborate with cross-functional teams