At a Glance
- Tasks: Design and develop cutting-edge AI solutions using .NET and Kafka for real-time data processing.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
- Why this job: Be part of a team that shapes the future of AI technology and makes a real impact.
- Qualifications: 10+ years in software engineering with strong skills in .NET and AI/ML solutions.
The Role
Required experienced AI Expert Engineer with 10+ years of software engineering experience and strong expertise in .NET technologies, Kafka-based event-driven architectures, AI/ML solution development, and cloud-native platforms. The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale intelligent applications that leverage Generative AI, machine learning, distributed systems, and real-time data processing. Candidate will collaborate with cross-functional teams to build scalable AI-powered solutions, drive innovation, and establish best practices for modern software architecture, integration, and automation.
Your 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.
Your Profile
Essential skills/knowledge/experience:
- Bachelor or Master degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
- 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.
Desirable skills/knowledge/experience:
- Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.
- Experience building RAG solutions using vector databases.
- Knowledge of prompt engineering, AI agents, autonomous workflows, and conversational AI.
- Familiarity with LangChain, Semantic Kernel, AutoGen, LangGraph, or equivalent orchestration frameworks.
- Experience with AI observability, model evaluation, and responsible AI practices.
- Understanding of machine learning lifecycle (MLOps) and model deployment strategies.
- Expert-level proficiency in C#, ASP.NET Core, .NET 6/7/8.
- Experience with Entity Framework Core, LINQ, Dependency Injection, and Web APIs.
- Strong understanding of multithreading, asynchronous programming, and performance optimization.
- Experience with gRPC, GraphQL, and distributed application design patterns.
- Extensive experience with Apache Kafka, Kafka Streams, Kafka Connect, and Schema Registry.
- Expertise in designing event-driven and asynchronous architectures.
- Knowledge of message serialization formats such as Avro, JSON, and Protobuf.
- Experience implementing fault-tolerant, high-throughput, low-latency streaming systems.
- Hands-on experience with event sourcing and CQRS patterns.
AI Engineer (.Net, Kafka) in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (.Net, Kafka) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tcs Uk or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tcs Uk.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tcs Uk.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tcs Uk that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer (.Net, Kafka) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tcs Uk.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tcs Uk and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tcs Uk
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tcs Uk uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
