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- Tasks: Design and implement advanced AI systems that transform enterprise workflows.
- Company: Join Elixirr, a leader in generative AI innovation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative culture with diverse projects and global impact.
- Why this job: Be at the forefront of AI, making a real impact across industries.
- Qualifications: Experience with LLMs and a strong programming background.
The predicted salary is between 30000 - 50000 £ per year.
Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions? Join Elixirr as an AI Engineer, where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more.
We're looking for proactive self-starters who are constantly reading research, applying it, and using AI to improve their processes, fully embracing the technology. At Elixirr Digital, we’ve been on the cutting edge of generative AI from the beginning, developing our own platforms and deploying transformative solutions to global clients for several years. Our expertise spans working with early models like BERT to today’s leading foundation and open-source models and leading frameworks like LangChain, AutoGen, Swarm, and Crew.ai to build innovative, agentic solutions.
If you’re excited to work at the forefront of generative AI, helping enterprises transform from the inside out, we want to hear from you. Let’s build the future of AI together!
What will you be doing as an AI Engineer at Elixirr?
- Design & implement solutions: architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows.
- Collaborate: work cross-functionally with experts to deliver AI-driven innovations and mentor Junior Engineers.
- Drive innovation: work on a mix of internal R&D projects and enterprise-level solutions, building and optimising tools for both internal and client use.
- Deploy at scale: develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability.
- End-to-end life cycle: own and contribute to the entire AI development life cycle, from research and prototyping to deployment and monitoring.
- Deliver tangible outcomes: help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimisers, and customer due diligence systems.
- Experience with LLMs: hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm.
- Bring technical expertise: solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development.
- Think strategically: ability to design and lead AI solutions while also contributing directly to development.
- Focus on outcomes: passion for transforming businesses and delivering measurable results through AI.
- Innovation-driven: stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions.
Bonus points if you have:
- Proven track record of leading AI projects from concept to deployment.
- Strong understanding of the AI development life cycle, with deep expertise in at least one part of the process.
- Examples of deployed AI systems demonstrating agentic capabilities.
- You anticipate, recognise, and resolve technical problems using a variety of specialised tools for application development and support.
- Creative & outside-the-box thinker.
- Proficient in English. We work across continents in a global environment, so fluent English, both written and spoken is a must.
Global impact: work with top-tier clients across industries, solving real-world challenges with transformative AI solutions.
Cutting-edge innovation: develop and deploy AI tools and platforms that redefine what’s possible in enterprise AI.
Collaborative culture: join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment.
Diverse projects: tackle a wide range of AI applications, from NLP to reinforcement learning, for use cases as varied as field support for telecom workers and optimising customer workflows in banks.
AI Engineer in London employer: Elixirr Consulting
Contact Detail:
Elixirr Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or conferences where you can chat with industry experts and potential employers. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic solutions. This is your chance to demonstrate your hands-on experience and innovative thinking. Don’t forget to share it on platforms like GitHub!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you’ve applied AI to solve real-world problems. Practice common interview questions and think about how you can showcase your strategic thinking.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who are excited about transforming industries with AI. Tailor your application to highlight your relevant experience and enthusiasm for the role. Let’s build the future of AI together!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for AI in your application! Share specific examples of how you've leveraged AI in past projects, especially with LLMs and agentic solutions. This will help us understand your drive and commitment to transforming industries.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant experiences that align with the job description. We want to see how your skills fit into our mission at Elixirr, so don’t hold back on showcasing your expertise in AI development!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and technical skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re proactive and ready to take the next step in your career with us!
How to prepare for a job interview at Elixirr Consulting
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and agentic solutions. Be ready to discuss specific frameworks like LangChain or AutoGen, and have examples of your past projects at hand. This shows you're not just familiar with the theory but have practical experience too!
✨Show Your Passion for Innovation
Elixirr is all about driving innovation, so come prepared to share how you've applied cutting-edge research in your work. Talk about any R&D projects you've been involved in and how they made a tangible impact. This will demonstrate your proactive approach and enthusiasm for the field.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to discuss your collaboration experiences. Share examples of how you've mentored others or worked alongside different experts to deliver successful AI-driven innovations. This highlights your teamwork skills and leadership potential.
✨Think Strategically
Prepare to talk about your strategic thinking when it comes to AI solutions. Discuss how you've designed and led projects from concept to deployment, focusing on outcomes and measurable results. This will show that you can think beyond just coding and understand the bigger picture in AI development.