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: Opportunity for career growth in a dynamic tech environment.
- 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 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.
- 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.
- 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.
- 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.
- 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.
- 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 employer: TekWissen UK
At TekWissen Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Software Developer in London, you'll enjoy the benefits of a hybrid work model, access to cutting-edge technologies, and opportunities for professional growth within a global leader in digital and cloud services. Join us to build impactful AI systems in a hands-on role that values your technical expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Developer
✨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 related to AI and cloud-native systems. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly! If you see a company you love, drop them a message on LinkedIn or their website. Express your interest in their work and ask if they have any upcoming opportunities. It shows initiative and can make a lasting impression.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace AI Software Developer
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 the latest AI technologies and frameworks mentioned in the job description, like LangGraph and AutoGen. Be ready to discuss your hands-on experience with AI systems and how you've implemented them in production.
✨Showcase Your Cloud Skills
Since this role involves cloud-native development, be prepared to talk about your experience with tools like Docker, Kubernetes, and Terraform. Have examples ready that demonstrate how you've built scalable and reliable cloud services.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills in complex environments. Think of specific challenges you've faced in previous roles and how you overcame them, especially related to AI performance optimisation and system health.
✨Communicate Clearly
Strong communication is key, especially when discussing technical concepts. Practice explaining your past projects and technical decisions in a way that's easy to understand, as you'll need to collaborate effectively with engineering teams.
