At a Glance
- Tasks: Design and build AI capabilities on Azure, focusing on innovative agentic AI patterns.
- Company: ASOS.com, a leading online fashion retailer with a global reach.
- Benefits: Employee discounts, 25 days leave, private medical care, and flexible benefits.
- Other info: Exciting opportunities for personal development and career growth.
- Why this job: Join a dynamic team to shape the future of AI in fashion technology.
- Qualifications: Experience in AI systems, strong Python skills, and collaboration abilities.
The predicted salary is between 63000 - 77000 £ per year.
Описание: ASOS. com is an online fashion retailer serving customers around the world. Its platform is used by millions of people.
- Задачи
- Design and build AI platform capabilities on Azure, focusing on agentic AI patterns such as agent runtimes, orchestration and tool integration
- Contribute to the Agentic AI Platform initiative and define how agents are built, integrated and operated across the organisation
- Design and maintain standardised templates and reference implementations for LLM and Generative AI workflows
- Implement secure and governed access patterns for LLMs and enterprise tools using APIM, platform gateways, Entra ID, RBAC and managed identities
- Contribute to LLMOps and model runtime patterns, including model access, routing, caching, token optimisation and cost-aware usage controls
- Support lifecycle and evaluation practices for agent configurations, prompts and AI workflows
- Design secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration
- Contribute to Agent Ops and Gen AIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback loops
- Contribute to reliability patterns for production AI systems, including latency monitoring, alerting, scaling considerations and operational readiness
- Apply CI/CD and software engineering best practices to AI platform and agentic components
- Embed observability through logs, metrics and traces
- Partner with Cloud Infrastructure and Security teams to design secure, scalable and cost-effective Azure environments
- Требования
- Significant experience as an AI Engineer, AI Platform Engineer or similar, delivering production-grade AI systems
- Hands-on experience with LLMs, Generative AI and agent-based systems in real-world environments
- Strong understanding of the end-to-end AI lifecycle, from experimentation through deployment and operation
- Practical understanding of production LLM or Gen AI runtime concerns, including model access, routing, caching, token usage, cost optimisation and reliability
- High proficiency in Python and experience building APIs and service-oriented systems
- Experience with CI/CD pipelines, automated testing and versioned deployments for AI or platform components
- Practical experience with observability tooling, including logging, metrics, tracing and alerting
- Experience using telemetry to improve reliability and performance
- Comfortable working in cloud environments
- Strong collaboration skills and the ability to influence platform standards and enable other engineering teams
- Pragmatic, engineering-led approach to responsible and ethical AI, focused on safety, reliability and trust
- Nice to have: Azure AI Foundry, Azure API Management, Agent Ops, MLOps, Gen AIOps, monitoring, evaluation and feedback loops
- Условия
- Employee discount
- Employee sample sales
- 25 Days paid annual leave plus an extra celebration day
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance, available as extra cash or for other benefits
- Personalised learning and in-the-moment development opportunities
- #J-18808-Ljbffr
ai engineer for an AI platform employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land ai engineer for an AI platform
✨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 Enfint 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 Enfint.
✨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 Enfint.
✨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 Enfint 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 for an AI platform
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 Enfint.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Enfint 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 Enfint
✨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 Enfint 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.
