At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies in a hybrid work environment.
- Company: Join a forward-thinking tech company based in London, embracing innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with hands-on engineering focus and excellent career advancement potential.
- Why this job: Be at the forefront of AI technology, making a real impact in enterprise environments.
- Qualifications: 8+ years in software engineering with strong cloud-native and AI system experience.
The predicted salary is between 80000 - 100000 € per year.
Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.
Responsibilities
- AI Agent Engineering
- Design and implement AI agents, including: Retrieval (RAG), Orchestration workflows, Tool/function invocation, Policy-based routing
- Build evaluation frameworks for accuracy, latency, and reliability
- Implement observability and monitoring for agent lifecycle
- AI Platform Integration
- Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
- Build abstraction layers to support multi-model and multi-provider architectures
- Optimize model usage for performance, cost, and latency
- Cloud-Native Development
- Develop scalable services using: Microservices architecture, Containers (Docker, Kubernetes), Serverless and event-driven patterns
- Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
- Ensure production readiness, logging, monitoring, and fault tolerance
- Application Development
- Build and deploy AI-powered applications aligned to business workflows
- Integrate AI systems into existing enterprise platforms and APIs
- Develop backend services and APIs supporting agent workflows
- Testing & Performance
- Define and execute test strategies for AI systems
- Measure system performance (latency, throughput, accuracy, cost)
- Debug and optimize production systems
Required Skills & Experience
- 8-10+ years of software engineering experience
- Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
- Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
- Proficiency in Python, Java, or similar backend languages
- Experience with: CI/CD pipelines, Infrastructure as code, Monitoring and observability tools
- Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Preferred Experience
- Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Experience designing multi-agent or distributed AI systems
- Familiarity with enterprise-scale system integration
- Experience optimizing AI workloads for cost and performance
Scope & Expectations (Contractor-Specific)
- 100% hands-on engineering role (no people management)
- Deliver production-quality code and deployments
- Work within existing architecture and engineering standards
- Collaborate with client and internal engineering teams as needed
- Participate in technical design discussions (implementation-focused)
AI Native Software Engineer employer: Skilliantech Ltd
Join a forward-thinking company in London that values innovation and collaboration, offering a dynamic work culture where creativity thrives. As an AI Native Software Engineer, you'll benefit from flexible hybrid working arrangements, extensive travel opportunities across the UK, and a commitment to your professional growth through continuous learning and development. With a focus on cutting-edge technology and a supportive team environment, this role provides a unique chance to make a significant impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and software engineering space. 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-driven systems or cloud-native solutions. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with AI platforms and cloud-native development. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace AI Native Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Native Software Engineer role. Highlight your experience with cloud-native systems, AI platforms, and any relevant projects you've worked on. We want to see how your skills match 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 great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI-driven systems or cloud-native applications, make sure to showcase them in your application. We want to see real examples of your work, so include links or descriptions that highlight your contributions and impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Skilliantech Ltd
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI platforms like OpenAI and Google Vertex. Be ready to discuss how you've integrated these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Cloud-Native Skills
Prepare to talk about your experience with cloud-native systems, especially microservices and containers. Have specific examples ready that demonstrate your ability to develop scalable services and implement CI/CD pipelines.
✨Demonstrate Problem-Solving Abilities
Expect questions that test your problem-solving skills, particularly around debugging and optimising production systems. Think of scenarios where you had to measure system performance and how you tackled issues related to latency or cost.
✨Engage in Technical Discussions
Be ready to participate in technical design discussions during the interview. This means not just answering questions but also asking insightful ones. Show your enthusiasm for collaboration and how you can contribute to the team’s success.
