AI Engineer (.Net, Kafka)

LA International; Greater London; On-site; GBP 115,000 - 138,000; Full time

Job summary

LA International is seeking an AI Engineer to design and develop enterprise AI solutions using .NET and AI frameworks. The role involves building scalable, event-driven microservices with Kafka for real-time data processing and integrating Generative AI, LLMs, NLP, and ML into business applications.

You will develop RESTful APIs and backend services with .NET Core/.NET 8, design RAG architectures, and collaborate with data scientists, architects, and stakeholders to translate requirements into

Qualifications

• 10+ years of hands-on software engineering and enterprise app development.

Responsibilities

• Design and develop enterprise AI solutions using .NET and modern AI frameworks.

Skills

C# & .NET

ASP.NET Core

Microservices

AI/ML & Generative AI

Cloud architecture

Leadership & mentoring

Stakeholder management

Agile/Scrum

Kafka

RAG & AI orchestration

Tools

Kafka

Azure

AWS

CI/CD

Job description

AI Engineer (.Net, Kafka)

12 Month contract initially + Extensions

Based: Remote with 2-3 days p/w onsite in London.

Rate -£500 - £600 p/d via Umbrella

Key Responsibilities:

• Design and develop enterprise-grade AI solutions using .NET technologies and modern AI frameworks.
• Build scalable, event-driven microservices architectures utilizing Apache Kafka for real-time data streaming and processing.
• Integrate Generative AI, Large Language Models (LLMs), NLP, and machine learning capabilities into business applications.
• Develop RESTful APIs, backend services, and reusable components using .NET Core/.NET 8 and C#.
• Design and implement Retrieval-Augmented Generation (RAG) architectures and AI orchestration frameworks.
• Collaborate with data scientists, architects, product owners, and business stakeholders to translate business requirements into AI-driven solutions.
• Optimize AI pipelines, inference workloads, and streaming applications for performance, scalability, and reliability.
• Implement secure, resilient, and highly available cloud-native applications on Azure or AWS.
• Establish CI/CD pipelines and DevOps practices for automated deployment and monitoring.
• Guide technical teams in architecture decisions, code reviews, engineering standards, and AI best practices.

Key Skills & Experience:

• Ideally 10+ years of hands-on experience in software engineering and enterprise application development.
• Proven experience delivering large-scale distributed systems and cloud-based applications.
• Strong expertise in C#, .NET Core/.NET Framework, ASP.NET Core, and Microservices Architecture.
• Demonstrated experience implementing AI/ML and Generative AI solutions in enterprise environments.
• Strong knowledge of software design patterns, clean architecture, and domain-driven design principles.
• Experience working in Agile/Scrum delivery environments.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to lead technical discussions, architecture reviews, and solution design workshops.
• Experience working with globally distributed teams and complex enterprise ecosystems.
• Monitor production environments and troubleshoot complex issues across distributed systems.
• Ensure compliance with enterprise security, governance, and responsible AI practices.
• Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.
• Mentor junior and senior engineers and contribute to technical capability development across the organization.

We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.

Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.