At a Glance
- Tasks: Lead the delivery of AI services and enhance customer experiences with innovative tech.
- Company: Join Sainsbury's DTD, a leader in fast-paced logistics and technology.
- Benefits: Enjoy discounts, holiday allowance, bonus schemes, and flexible working arrangements.
- Other info: Dynamic team culture with opportunities for growth and continuous learning.
- Why this job: Make a real impact on global supply chains with cutting-edge AI technology.
- Qualifications: Experience in Azure, Python, and Agile environments is essential.
hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role.
Every week we move millions of products to our customers at record speeds. Brilliant customer experiences at this kind of pace, require fresh and appealing products to be available whenever and however our customers shop with us. And in this area of our business, we help to make sure that happens.
By engineering innovative, smart technology, we put the tools in our colleagues’ hands to power a global supply chain. Whether it’s wine from New Zealand or milk from the local dairy farm, our tech performs. We solve problems at scale. We process billions of records, predicting and planning to make our customers lives easier. We keep ours and stores operating smoothly around the clock, because what’s important to our customers, is important to us.
We are looking for an AI Engineer to work within a team engaged in delivering and running multi brand AI powered telephony and chat system in Azure. The role involves ensuring the scalability, reliability, security, and efficiency of the application.
About The Role
- Help lead on the delivery of best in class Generative & Agentic AI services to Sainsbury’s
- Deploy and configure production systems, with a particular focus on automation, scalability and security.
- Collaborate with other Engineers to design, implement and evolve the system
- Engage in the expansion of the evaluation framework, collaborating with product owners and architects to ensure that solutions help customers and achieve the logistics business goals
- Monitor new features/functionality and assess their Ops implications to continuously improve services.
- Discover and recommend ways to improve reliability and efficiency
- Maintain an overarching service dashboard and reporting
- Produce and maintain documentation of support processes & resolutions to known operational issues.
- Participate in a 24/7 on call rota as required
Essential Criteria
- Proven Azure commercial experience in AI Foundry, ACS / Telephony, Voice Live, Azure ML
- Proven industry experience with Python, Javascript, Typescript, React, Redux, Java
- Experience with LLM’s including realtime models
- Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets
- Experienced in writing automated tests and maintaining CI/CD pipelines
- Proven experience of source and version control tools such as GitHub
- Be experienced working with Agile delivery teams in a fast paced, DevOps environment
- Be diligent and positive about tracking (JIRA), system monitoring, security & auditing
- Feed your insights to continuously improve the platform
- Be an active contributing part of an agile development team
- The ability to engage with and influence stakeholders
Desirable
- Familiarity with Genesys would be a positive
As well as lots of on-the-job training and endless opportunities, you’ll get:
- Colleague discount across our multi-brands - Sainsbury’s, Argos and Habitat
- Holiday allowance
- Bonus scheme
- Pension plan
- Special offers on gym memberships, restaurants, holidays, retail vouchers and more
Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.
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AI Engineer / Machine Learning Engineer / Generative AI Engineer (Azure) employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer / Machine Learning Engineer / Generative AI Engineer (Azure)
✨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 Limelight Health 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 Limelight Health.
✨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 Limelight Health.
✨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 Limelight Health 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 / Machine Learning Engineer / Generative AI Engineer (Azure)
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 Limelight Health.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Limelight Health 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 Limelight Health
✨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 Limelight Health 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.
