Job Description

We are seeking an AI Engineer with a passion for building intelligent systems to join our team in Manchester, UK. In this role, you will be a key player in developing the next generation of AI-driven capabilities, focusing on the practical application of AI Agents to solve real-world business challenges.

Responsibilities

- Design, build, test, and deploy scalable and reliable AI-powered applications, with a primary focus on AI Agents.
- Collaborate closely with data scientists, product owners, and other engineers to translate concepts into production-grade software.
- Develop and maintain the full lifecycle of AI solutions, from data ingestion and processing to model deployment and monitoring.
- Implement and manage MLOps pipelines to ensure efficient and automated training, evaluation, and deployment of predictive algorithms.
- Write high-quality, maintainable, and well-tested code in languages such as Python, Java, or Node.js.
- Ensure the security, scalability, and observability of the AI systems you build within our cloud-native environment.
- Participate in code reviews, providing and receiving constructive feedback to maintain high engineering standards.
- Stay ahead of the latest advancements in AI, machine learning, and software engineering, and apply this knowledge to your work.

Requirements

- Proven experience in a software engineering role with a focus on building and deploying applications.
- Strong proficiency in at least one of the following programming languages: Python or the JavaScript runtime Node.js with Typescript.




- Proven understanding of software development principles, including experience in building scalable and observable solutions.
- Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS) and a strong grasp of cloud-native architectures.
- Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
- A foundational understanding of concepts in artificial intelligence, including supervised and unsupervised learning, and the lifecycle of a machine learning project.
- Familiarity with emerging trends and technologies in AI, such as Generative AI, Large Language Models (LLMs), and Agentic AI architectures.
- Experience with Agile development methodologies and tools like Jira.
- Excellent problem-solving and analytical skills, proficient in resolving complex technical challenges.
- Strong communication and collaboration skills, proficient at working effectively in a team setting.

Desirable

- Practical experience developing applications that demonstrate advanced conversational AI models and frameworks for crafting AI Agents (e.g. Google ADK, LangChain, CrewAI).
- Experience with MLOps tools and frameworks such as MLflow or Kubeflow.
- Familiarity with data processing alongside artificial intelligence frameworks in Python (e.g., pandas, scikit-learn, TensorFlow, or PyTorch).
- Knowledge of data engineering principles and experience with data storage and processing technologies like BigQuery.
- An understanding of the ethical considerations and potential biases in AI and predictive algorithms.

📌 AI Engineer (Hyderabad)
🏢 Lloyds Technology Centre
📍 Hyderabad