AI Engineer

Lloyds Technology Centre; Hyderabad; On-site; INR 9,013,649 - 14,164,306; Full time

Job summary

Lloyds Technology Centre in Manchester, UK is seeking an AI Engineer to build intelligent systems with a focus on AI Agents to address real-world business challenges. You'll develop scalable AI-powered applications and contribute across the ML lifecycle.

You will collaborate with data scientists, product owners, and engineers, implement MLOps, and write robust code in Python and/or Node.js. The role requires cloud experience (GCP/AWS/Azure), Docker/Kubernetes, and a passion for AI advances.

Qualifications

• Proven experience in a software engineering role building and deploying applications.
• Strong proficiency in Python or Node.js with TypeScript.
• Experience with cloud platforms (GCP, Azure, AWS) and cloud-native architectures.
• Experience with Docker and Kubernetes.
• Foundational understanding of AI/ML concepts and lifecycle of ML projects.
• Familiarity with trends in AI such as Generative AI and LLMs, plus Agentic AI architectures.
• Experience with Agile development methodologies and Jira.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design, build, test, and deploy scalable AI-powered applications with a focus on AI Agents.
• Collaborate with data scientists, product owners, and engineers to translate concepts into production-grade software.
• Develop and maintain the full lifecycle of AI solutions from data ingestion to deployment and monitoring.
• Implement and manage MLOps pipelines for automated training, evaluation, and deployment of predictive algorithms.
• Write high-quality, maintainable, and well-tested code in Python, JavaScript, or TypeScript.
• Ensure security, scalability, and observability of AI systems in a cloud-native environment.
• Participate in code reviews to maintain high engineering standards.
• Stay updated on AI and ML advancements and apply them to work.

Skills

Python

Node.js/TypeScript

Cloud platforms (GCP/AWS/Azure)

Jira / Agile

Software architecture

Tools

Docker

Kubernetes

MLflow

Kubeflow

Job description

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 environment.

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.