AI Engineer

AI Engineer

UK-based candidates only

Job Summary:

One of our client is looking for an AI Engineer to design, build, deploy, and maintain production-grade AI and Generative AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on experience building solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning, and cloud technologies.

You will work closely with product, engineering, data, and business teams to translate real-world problems into scalable, reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML and Generative AI applications for business use cases.
• Build LLM-powered applications using APIs and/or open-source models.
• Develop RAG pipelines, embeddings, vector search, and knowledge-retrieval systems.
• Design and implement AI agents, tool calling, workflows, and orchestration.
• Develop prompts, structured outputs, guardrails, and fallback mechanisms.
• Build evaluation frameworks to measure accuracy, relevance, reliability, latency, and cost.
• Integrate AI capabilities into existing web applications, APIs, and enterprise systems.
• Develop and deploy scalable AI services using Python and modern backend frameworks.
• Fine-tune or adapt ML/LLM models when appropriate for the use case.
• Implement monitoring, logging, testing, and observability for AI applications.
• Optimize model performance, inference latency, token usage, and infrastructure costs.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with data scientists and software engineers on end-to-end AI solutions.
• Stay current with developments in LLMs, GenAI, ML frameworks, and AI engineering practices.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field.
• 5+ years of software/AI/ML engineering experience.
• Strong Python programming skills.
• Experience developing and deploying AI/ML applications.
• Hands-on experience with LLMs and Generative AI.
• Experience with RAG, embeddings, vector databases, or semantic search.
• Understanding of machine learning and deep learning fundamentals.
• Experience building REST APIs and integrating third-party services.
• Experience with Git, Docker, CI/CD, and software development best practices.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Strong problem-solving, communication, and collaboration skills.

Technical Skills:

Languages: Python, SQL, JavaScript/TypeScript

AI/ML: Machine Learning, Deep Learning, NLP, LLMs, Generative AI, RAG, Fine-tuning

Frameworks: PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex

Data & Search: PostgreSQL, Vector Databases, Embeddings, Semantic Search

Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD

Engineering: REST APIs, Microservices, Git, Testing, Monitoring, Observability