At a Glance
- Tasks: Design and deploy AI-driven systems in complex enterprise environments.
- Company: Join a global leader in digital, cloud, and security services.
- Benefits: Hybrid work, competitive salary, and hands-on engineering experience.
- Other info: Dynamic role with no people management, focusing on technical excellence.
- Why this job: Build impactful AI systems and collaborate with top engineering teams.
- Qualifications: 8-10 years of software engineering experience and AI system deployment.
The predicted salary is between 80000 - 100000 £ per year.
TekWissen Group is a workforce management provider throughout the UK, Europe and many other countries in the world. The client below is a global professional services company with leading capabilities in digital, cloud, and security.
We are seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within complex enterprise environments. In this role, you will focus on agent-based architectures, AI platform integration, and cloud-native development, delivering scalable, reliable solutions that power real business workflows. This is a 100% hands-on engineering role, ideal for a senior technologist who thrives at the intersection of AI systems, software engineering, and cloud infrastructure.
Key Responsibilities:
- Design, implement, and maintain AI agent workflows, including retrieval-augmented generation (RAG), orchestration, tool/function invocation, and policy-based routing.
- Build cloud-native backend services and APIs to support AI-driven applications and enterprise integrations.
- Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles.
- Optimize AI and system performance across cost, scalability, and latency dimensions in production environments.
Deliverables or Project Scope:
- Production-ready AI-powered applications aligned to defined business workflows and enterprise standards.
- Scalable multi-model and multi-provider AI architectures, including abstraction layers for provider flexibility.
- Fully deployed cloud-native services using microservices, containers, and serverless or event-driven patterns.
- Robust CI/CD pipelines, infrastructure-as-code implementations, logging, monitoring, and fault-tolerant deployments.
Collaboration Tools or Platforms:
- Microsoft Office (Excel, Word, Outlook, Teams)
- AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open-source models.
- Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar).
- Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines.
- Enterprise Integration: APIs, enterprise platforms, monitoring and observability tools.
Why You’ll Love This Role:
- Build real, enterprise-grade AI systems that move beyond experimentation into production.
- Remain deeply technical in a 100% hands-on engineering role with no people-management responsibilities.
- Work with modern AI platforms, multi-model architectures, and cloud-native technologies.
- Focus on high-impact delivery with clear scope, measurable outcomes, and implementation ownership.
- Collaborate with experienced engineering teams in an execution-driven environment.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience.
- 8–10+ years of professional software engineering experience with ownership of production systems.
- 3+ years of hands-on experience building and deploying AI/LLM-based systems in production (agents, RAG pipelines, orchestration).
- Strong experience designing and delivering cloud-native systems, including APIs, microservices, containers, and serverless or event-driven architectures.
- Proficiency in Python, Java, or comparable backend languages.
- Hands-on experience with CI/CD pipelines, infrastructure as code, and monitoring or observability tools.
- Proven ability to deliver production-quality code, including testing, debugging, performance tuning, and operational readiness.
Preferred Qualifications:
- Experience with agent frameworks such as LangGraph, AutoGen, CrewAI, or similar.
- Experience designing multi-agent or distributed AI systems.
- Familiarity with multi-model and multi-provider AI architectures.
- Experience integrating AI solutions into enterprise-scale systems or platforms.
- Demonstrated experience optimizing AI workloads for cost, performance, and latency.
Additional Information / Requirements:
- This is a 100% hands-on engineering role with no people-management responsibilities.
- Strong problem-solving skills and technical judgment in complex enterprise environments.
- Ability to collaborate effectively with internal and client engineering teams.
- Comfortable working within existing architecture standards, security requirements, and engineering best practices.
- Strong written and verbal communication skills for technical documentation and design discussions.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
AI Software Developer in London employer: TekWissen UK
At TekWissen Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based AI Software Developer role provides the unique opportunity to work hands-on with cutting-edge AI technologies in a hybrid environment, while also benefiting from our commitment to employee growth through continuous learning and development. Join us to be part of a forward-thinking team that values your expertise and encourages impactful contributions to real-world projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Developer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and software development scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems and cloud-native applications. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI architectures. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Software Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Developer role. Highlight your experience with AI systems, cloud-native development, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI-driven projects or have experience with cloud-native architectures, make sure to showcase them in your application. We want to see real examples of your work and how you've tackled challenges in the past.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do at StudySmarter.
How to prepare for a job interview at TekWissen UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially agent-based architectures and cloud-native development. Be ready to discuss specific projects where you've designed or deployed AI-driven solutions, as this will show your hands-on experience.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in Python, Java, or any relevant backend languages. You might be asked to solve coding problems or explain your approach to building APIs and microservices, so practice coding challenges beforehand.
✨Understand the Tools
Familiarise yourself with the tools mentioned in the job description, like Docker, Kubernetes, and CI/CD pipelines. Being able to discuss how you've used these tools in past projects will give you an edge and show that you're ready for a hands-on role.
✨Communicate Clearly
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. Be prepared to discuss your design decisions and how they align with business workflows, as this will demonstrate your ability to collaborate effectively.
