At a Glance
- Tasks: Design and build AI-driven systems, integrating cutting-edge technologies.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
- Other info: Hands-on role with excellent career advancement opportunities and collaborative culture.
- Why this job: Make a real impact by developing innovative AI solutions in a dynamic environment.
- Qualifications: 8-10 years of software engineering experience and strong cloud-native skills required.
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 in Bedford employer: Skilliantech Ltd
As an AI Native Software Engineer at our London-based company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer competitive benefits, including flexible hybrid working arrangements and opportunities for professional growth through exposure to cutting-edge AI technologies and projects. Join us to be part of a forward-thinking team that values your contributions and supports your career development in the heart of one of the world's leading tech hubs.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in Bedford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential employers on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving cloud-native systems and agent-based workflows. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI platforms. Practice common algorithms and system design questions to impress during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace AI Native Software Engineer in Bedford
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 the impact they had.
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 build scalable services and implement CI/CD pipelines.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that test your problem-solving skills. Think through scenarios where you've had to debug or optimise production systems, and be ready to explain your thought process clearly.
✨Engage in Technical Discussions
Be prepared to participate in technical design discussions during the interview. Show your enthusiasm for collaboration and your ability to contribute to implementation-focused conversations with both internal teams and clients.
