At a Glance
- Tasks: Develop cutting-edge AI solutions and automate workflows for Fortune 500 companies.
- Company: Join Magentic, a leader in ethical AI for global supply chains and procurement.
- Benefits: Enjoy competitive salaries, equity options, hybrid work, and an annual team retreat.
- Why this job: Transform industries with innovative AI while collaborating with top experts in a dynamic environment.
- Qualifications: 2+ years in software engineering, strong Python skills, and experience with generative AI systems.
- Other info: We value diversity and provide accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for brilliant engineers to join our team at Magentic. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We’re focusing on a three trillion dollar market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. About the Role As an Applied AI engineer, you’ll be working on the most cutting-edge component of our product. Here, you’ll be working alongside the CTO to develop the very best that agentic AI can achieve. You’ll be regularly pushing the envelope with new models, new frameworks, and new paradigms. You will ship production-grade AI solutions to Fortune 500 procurement and supply chain teams, and you will completely transform the way these teams work. Tasks What You Will Do: Build and deploy agentic LLM workflows that automate supplier discovery, risk monitoring, cost analysis, and more. Lead end-to-end projects : architecture, modelling, coding, DevOps, rollout, and customer training. Develop new agentic frameworks to handle safe and robust multi-agent collaboration Develop LLM benchmarking across domains of performance, safety and behavioural monitoring. Build tooling to connect LLMs to APIs & middleware, connecting our AI services to customer systems (SAP, Oracle, Coupa, custom APIs). Collaborate directly with executives & operators to refine requirements, demo prototypes, and align on value. Requirements You May Be a Good Fit if You: Have 2 + years of professional software engineering (we’ll consider much more senior applicants for a VP Engineering track). Are a strong coder in Python. Have deployed generative-AI or ML systems to production and understand evaluation, guard-railing, and monitoring. Have a deep understanding of the core technology behind language models. Having previously conducted and published research on large language models is an an advantage here A Master’s or PhD degree in machine learning is advantageous but not required Can communicate fluently with both technical and non-technical stakeholders and enjoy white-boarding with customers. Are capable of architecting and building complex systems from scratch Are comfortable in fast-paced, dynamic environments Benefits Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Salaries : We provide salary packages that reflect your expertise and experience Competitive Equity : play a real part in Magentic’s upside. Visa sponsorship available; we prioritise UK-based candidates but welcome global talent. Hybrid London HQ (3-4 days in the office) with remote flexibility. Annual team retreat —a fully-funded off-site to recharge, bond, and build. About Magentic At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI\’s capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. We bring expertise from OpenAI, NASA, and McKinsey, and we’re backed by the best venture funds in the world. We can’t wait to have you on board. Magentic Equal Opportunities Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic Accommodations for Applicants with Disabilities Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly. #J-18808-Ljbffr
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StudySmarter Expert Advice 🤫
We think this is how you could land Magentic: Applied AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in generative AI and language models. Being able to discuss recent developments or breakthroughs during your interview will demonstrate your passion and knowledge in the field, making you a standout candidate.
✨Tip Number 2
Prepare to showcase your coding skills in Python by working on relevant projects or contributing to open-source initiatives. Having tangible examples of your work can help you illustrate your capabilities and experience effectively during technical discussions.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts to non-technical stakeholders. Practising how to convey your ideas clearly can set you apart, as collaboration with diverse teams is key in this role.
✨Tip Number 4
Research Magentic's mission and values thoroughly. Understanding their commitment to ethical AI and how they aim to transform supply chains will allow you to align your answers with their goals, showing that you're not just a fit for the role but also for the company culture.
We think you need these skills to ace Magentic: Applied AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly with Python and generative AI or ML systems. Emphasise any projects where you've deployed AI solutions, as this aligns closely with what Magentic is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform supply chains. Mention specific experiences that demonstrate your ability to work on complex systems and collaborate with both technical and non-technical stakeholders.
Showcase Relevant Projects: Include examples of projects where you built or deployed AI models, especially those involving LLMs or multi-agent systems. Highlight your role in these projects and the impact they had on the end-users or business outcomes.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, particularly around Python coding, AI frameworks, and system architecture. Consider preparing examples of challenges you've faced in previous roles and how you overcame them, as this will demonstrate your problem-solving abilities.
How to prepare for a job interview at JOIN
✨Showcase Your Technical Skills
Be prepared to demonstrate your coding abilities, particularly in Python. You might be asked to solve problems on the spot or discuss your previous projects involving generative AI or ML systems.
✨Understand the Company’s Mission
Familiarise yourself with Magentic's focus on ethical AI and its impact on supply chains. Be ready to discuss how your values align with their mission and how you can contribute to their goals.
✨Prepare for Collaborative Discussions
Since the role involves working closely with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about examples where you've successfully communicated with diverse teams.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to architect and build complex systems. Prepare to discuss your approach to tackling challenges in past projects, especially those related to AI workflows and multi-agent collaboration.