At a Glance
- Tasks: Lead AI projects, design solutions, and mentor engineers in a dynamic environment.
- Company: Join a forward-thinking tech company making waves in AI across various sectors.
- Benefits: Enjoy competitive pay, flexible leave, bonuses, and continuous training opportunities.
- Other info: Engage in a vibrant culture with social events and community involvement.
- Why this job: Shape the future of AI while making a real impact on critical client projects.
- Qualifications: Proven experience in AI delivery and leadership in tech environments.
The predicted salary is between 80000 - 100000 £ per year.
Haystack’s client is looking to recruit a Lead AI Engineer to join the Engineering Community and play a vital role in shaping and delivering AI-powered solutions across its large-scale, operationally critical client projects. They’ve had some big AI wins over the last couple of years, from deploying AI solutions into the Public Healthcare Sector, supporting Energy Sector Providers to transform how their customer data is processed, and more recently, winning a spot on a Major Utilities Provider’s AI Framework.
This is a senior, client-facing technical leadership role focused on building production-grade AI systems that deliver measurable impact for our clients.
What You’ll Be Doing
- Defining AI solution architectures aligned to client strategy and business outcomes.
- Creating AI development roadmaps from proof-of-concept through to production deployment.
- Leading the design and build of LLM-based systems, RAG pipelines, agentic workflows, and multimodal applications.
- Ensuring solutions are secure, scalable, observable, and cost-optimised in cloud environments.
- Translating complex AI concepts into clear, actionable recommendations for stakeholders.
- Mentoring engineers and growing our AI capability within the Engineering Community.
- Working closely with senior client stakeholders to ensure AI solutions deliver measurable value (accuracy, latency, cost, UX, and adoption).
What You’ll Bring
- Proven experience leading technical delivery in client-facing consultancy or enterprise environments.
- Experience translating business problems into production-grade AI solutions.
- Hands-on leadership of cross-functional engineering teams.
- Agile software development experience with continuous delivery.
- Deep experience working with large language models in production environments, working with major model families such as Llama, Mistral, GPT, Claude, and Gemini.
- Experience integrating Speech-to-Text and Text-to-Speech models into end-user solutions.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, PGVector (or similar).
- Production deployment experience with AWS Bedrock, Azure Foundry, or Google Vertex AI.
The Perks
- Competitive salary.
- Flexible annual leave (buy/sell and carry forward).
- Twice-a-year income-tax-free bonus based on company performance.
- Continuous training and development —if you want to learn, we’ll provide the support you need.
- Flexible Pension —we match your own contributions up to 5%.
- A flexible Healthcare cash plan so you can fund the care you value most.
- A packed social calendar including an end-of-year party (partners invited), summer away days, and monthly/quarterly team socials.
- Parking at Leeds office, plus Cycle2Work & Green Car Lease schemes.
- The chance to give back —get involved nationally and regionally with partnerships to get people from different backgrounds into tech, as well as charity and community events.
Remote C# Engineer in Leeds employer: Haystack
Haystack is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for those in the tech sector. With a strong focus on employee growth through continuous training and development, as well as a commitment to work-life balance with flexible leave options, employees are empowered to thrive both personally and professionally. The company's engagement in meaningful projects across various sectors, including public healthcare and energy, ensures that your contributions have a significant impact, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer in Leeds
✨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 Haystack 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 Haystack.
✨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 Haystack.
✨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 Haystack 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 Remote C# Engineer in Leeds
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 Haystack.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Haystack 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 Haystack
✨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 Haystack 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.
