We are seeking an experienced Python AI Engineer with strong expertise in the Banking domain to lead planning, execution, and delivery of AI projects. You will join an AI Engineering Innovation team to design next-generation AI solutions using Python, LangChain, and agentic frameworks, deployed in Azure cloud. You will collaborate with Data Scientists and AI Engineers to integrate ML models into production systems, build secure, scalable data and AI pipelines, and contribute to observability, evaluation, and governance of LLM-based solutions. This role combines hands-on development with architectural reviews and rapid prototyping in a hybrid, cross-functional, globally distributed team.
Job Title: Python AI Engineer
Location: Knutsford, UK
Hybrid
About the Job you are considering:
We are seeking experienced Python AI
Engineer with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projects
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
We are looking for an AI Engineering Innovation team to design and deliver next generation AI solutions for strategic business use cases The team already includes several Barclays technologists, and we are expanding with AI engineers and developers who are passionate about solving complex technical problems using modern AI LLMs and cloud native engineering. If you are a strong Python developer with hands on experience in AI engineering agentic frameworks and Azure ecosystem and enjoy working in fast paced collaborative environment this is the role for you Key Responsibilities
Develop scalable AILLM based solutions using Python LangChain Lang Graph and related agentic frameworks
Build optimize and deploy agentic AI workflows multiagent architectures and retrieval augmented systems
Contribute to design and implementation of LLM observability evaluation workflows prompt monitoring and model performance instrumentation
Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems
Work with Azure cloud services to build secure resilient and scalable dataAI pipelines Azure OpenAI Azure Functions Azure Storage AKS etc
Participate in architectural discussions technical design reviews and code reviews
Support continuous improvement through innovation experimentation and rapid prototyping
Work closely within a cross functional and globally distributed team while contributing to team culture knowledge sharing and engineering best practices
Your Skills:
Strong hands-on experience as a Python Developer with solid coding debugging and problem solving skills
Experience in AI engineering with practical exposure to building LLM based or agentic AI solutions
Familiarity with LangChain LangGraph or similar agentic LLM orchestration frameworks
Understanding of LLM observability evaluation metrics prompt evaluation guardrails and model lifecycle management
Experience working with Azure Cloud services and cloud native application development
Good understanding of data structures algorithms integration patterns and API based systems
Strong team player with the ability to learn quickly adapt to new tools technologies and contribute in a greenfield environment Good to Have
Exposure to vector databases embeddings RAG architectures
Experience with CICD pipelines and DevOps practices
Knowledge of AI safety governance and responsible AI principles
Experience in enterprise grade application delivery within banking or financial services Successful delivery of pilot to scalable production solution
We are seeking an experienced Python AI Engineer with strong expertise in the Banking domain to lead planning, execution, and delivery of AI projects. You will join an AI Engineering Innovation team to design next-generation AI solutions using Python, LangChain, and agentic frameworks, deployed in Azure cloud. You will collaborate with Data Scientists and AI Engineers to integrate ML models into production systems, build secure, scalable data and AI pipelines, and contribute to observability, evaluation, and governance of LLM-based solutions. This role combines hands-on development with architectural reviews and rapid prototyping in a hybrid, cross-functional, globally distributed team.
Job Title: Python AI Engineer
Location: Knutsford, UK
Hybrid
About the Job you are considering:
We are seeking experienced Python AI
Engineer with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projects
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
We are looking for an AI Engineering Innovation team to design and deliver next generation AI solutions for strategic business use cases The team already includes several Barclays technologists, and we are expanding with AI engineers and developers who are passionate about solving complex technical problems using modern AI LLMs and cloud native engineering. If you are a strong Python developer with hands on experience in AI engineering agentic frameworks and Azure ecosystem and enjoy working in fast paced collaborative environment this is the role for you Key Responsibilities
Develop scalable AILLM based solutions using Python LangChain Lang Graph and related agentic frameworks
Build optimize and deploy agentic AI workflows multiagent architectures and retrieval augmented systems
Contribute to design and implementation of LLM observability evaluation workflows prompt monitoring and model performance instrumentation
Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems
Work with Azure cloud services to build secure resilient and scalable dataAI pipelines Azure OpenAI Azure Functions Azure Storage AKS etc
Participate in architectural discussions technical design reviews and code reviews
Support continuous improvement through innovation experimentation and rapid prototyping
Work closely within a cross functional and globally distributed team while contributing to team culture knowledge sharing and engineering best practices
Your Skills:
Strong hands-on experience as a Python Developer with solid coding debugging and problem solving skills
Experience in AI engineering with practical exposure to building LLM based or agentic AI solutions
Familiarity with LangChain LangGraph or similar agentic LLM orchestration frameworks
Understanding of LLM observability evaluation metrics prompt evaluation guardrails and model lifecycle management
Experience working with Azure Cloud services and cloud native application development
Good understanding of data structures algorithms integration patterns and API based systems
Strong team player with the ability to learn quickly adapt to new tools technologies and contribute in a greenfield environment Good to Have
Exposure to vector databases embeddings RAG architectures
Experience with CICD pipelines and DevOps practices
Knowledge of AI safety governance and responsible AI principles
Experience in enterprise grade application delivery within banking or financial services Successful delivery of pilot to scalable production solution