AI Engineer

• 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.

Technologies:

• AI
• AI Agents
• AWS
• Azure
• Backend
• CI/CD
• Cloud
• Docker
• GCP
• Git
• LLM
• Machine Learning
• Python
• RAG
• REST
• Web
• DevOps
• Fine-tuning
• JavaScript
• Kubernetes
• PostgreSQL
• PyTorch
• SQL
• TensorFlow
• TypeScript
• microservices, We are looking for an AI Engineer to design, build, deploy, and maintain production-grade AI and Generative AI applications. This role combines strong software engineering fundamentals with hands-on experience building solutions using Large Language Models, Retrieval-Augmented Generation, 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. This position is for UK-based candidates only.

• Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field.
• 5+ years of software, AI, or 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.