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- Tasks: Design and develop innovative AI solutions that transform client businesses using cutting-edge technology.
- Company: WeBuild-AI is a pioneering company revolutionising enterprise organisations with advanced AI technologies.
- Benefits: Enjoy flexible working options, opportunities for growth, and the chance to work on groundbreaking projects.
- Why this job: Join a mission-driven team at the forefront of AI innovation, shaping the future of enterprise solutions.
- Qualifications: Experience with AWS or Azure AI services, strong Python skills, and a creative problem-solving mindset required.
- Other info: Ideal for those who thrive in a fast-paced, experimental environment and want to lead AI transformation.
The predicted salary is between 48000 - 84000 £ per year.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview: As an AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities:
- Design and develop AI solutions using language models and agent frameworks.
- Implement and customise agent frameworks like Autogen and LangGraph.
- Integrate AI capabilities with client systems, custom built digital products and data sources.
- Collaborate with Data Engineers to ensure optimal data structures for AI applications.
- Work directly with clients to understand requirements and deliver transformative solutions.
- Support customers with change management, education and awareness to re-skill their workforce to use AI safely and securely.
- Contribute to the ongoing development of our Pathway platform.
- Pioneer new approaches to AI implementation that haven't been tried before.
- Challenge conventional wisdom about what's possible with current AI technologies.
Required Skills & Experience:
- Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML).
- Experience with designing, building and operating production grade generative AI systems.
- Understanding of agent based monitoring systems like Langfuse and Open Telemetry.
- Proficiency with agent frameworks (Autogen, LangGraph).
- Strong Python programming skills for AI development and integration.
- Experience with containerisation (Docker, Kubernetes) for deploying and scaling AI solutions.
- Understanding of vector databases and embeddings.
- Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
- Software engineering skills and best practices.
- Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
- Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
- Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
- Can Do Attitude: When faced with a seemingly impossible challenge, your response should be let's figure out how rather than it can't be done. We value determined problem-solvers who find a way forward.
- Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
- Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
- Create intellectual property and novel implementation approaches.
- Work across multiple industries to develop deep domain expertise.
- Contribute to the evolution of our proprietary AI methodology.
- Participate in the AI research community and establish thought leadership.
- Shape new AI services and capabilities within our Pathway platform.
We appreciate every application we receive. Due to high interest, if you don’t hear back from us within 2 weeks unfortunately it means we won’t be moving forward with your application this time — but we truly thank you for considering us and wish you all the best in your search.
Artificial Intelligence Engineer (London Area) employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the latest AWS and Azure AI services, especially those mentioned in the job description. Being able to discuss specific features or recent updates during your interview can demonstrate your proactive approach and genuine interest in the role.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of complex challenges you've tackled in previous roles. Be ready to explain your thought process and how you approached these problems, as this aligns with the mindset WeBuild-AI values.
✨Tip Number 3
Engage with the AI community online, whether through forums, webinars, or social media. This not only keeps you updated on trends but also allows you to network with professionals who might provide insights or referrals for opportunities at WeBuild-AI.
✨Tip Number 4
Prepare to discuss innovative ideas or projects you've worked on that push the boundaries of traditional AI applications. WeBuild-AI is looking for pioneers, so demonstrating your willingness to experiment and innovate will set you apart from other candidates.
We think you need these skills to ace Artificial Intelligence Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with AI technologies, particularly AWS and Azure services. Emphasise your skills in Python programming, containerisation, and any experience with agent frameworks like Autogen and LangGraph.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Discuss specific projects where you've pushed boundaries or implemented creative solutions. Show how your mindset aligns with WeBuild-AI's values of relentless innovation and a can-do attitude.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your strong problem-solving abilities. Highlight instances where you faced complex challenges and how you approached them creatively, especially in AI contexts.
Research WeBuild-AI: Familiarise yourself with WeBuild-AI's mission and recent projects. Mention any specific initiatives or technologies they use in your application to show your genuine interest and understanding of their work.
How to prepare for a job interview at WeBuild-AI
✨Showcase Your AI Knowledge
Make sure to brush up on the latest advancements in AI technologies, especially those relevant to enterprise applications. Be prepared to discuss your experience with AWS and Azure AI services, as well as any generative AI systems you've worked on.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex challenges you've faced in previous roles and how you approached solving them. Highlight your creative thinking and critical analysis skills, as these are crucial for an AI Engineer at WeBuild-AI.
✨Emphasise Flexibility and Innovation
WeBuild-AI values a flexible methodology, so be ready to discuss how you've adapted your working methods in the past. Share instances where you've experimented with new approaches and pushed the boundaries of what's possible with AI.
✨Engage with the Company’s Mission
Familiarise yourself with WeBuild-AI's purpose and mission. During the interview, express your enthusiasm for reinventing AI in enterprise environments and how you see yourself contributing to this transformation.
