At a Glance
- Tasks: Join us as an AI Engineer to solve complex problems with cutting-edge technology.
- Company: IFS is a global leader in AI-driven enterprise software, committed to innovation and diversity.
- Benefits: Enjoy flexible hybrid work options and a supportive, inclusive workplace culture.
- Why this job: Make a real impact on the world while working with innovative thinkers in a diverse environment.
- Qualifications: Masters in Data Science and proven experience in generative AI applications required.
- Other info: Be part of a winning team that values creativity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities.
As a truly international company serving people from around the globe, we realise that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
We are seeking an experienced, product-minded AI Engineer who will work with customers to solve their most complex problems using expertise in generative AI and machine learning. As one of the founding AI Engineers, you will set the foundations of how we will design, develop, and deploy AI-driven workflows for industrial applications. This role requires a strong technical background in AI approaches and prior experience in delivering AI solutions in production, at scale.
A keen ability to rapidly prototype and iterate AI solutions in collaboration with customers and use case leads is a must. You will be responsible for applying generative AI techniques, reinforcement learning, and multi-agent systems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI-driven use cases, rapid prototyping capabilities, and the ability to work closely with enterprise customers to refine solutions that align with business objectives.
Key Responsibilities:
- Work closely with customers, domain experts, and use case leads to identify pain points, define AI-driven solutions, and iteratively prototype use cases.
- Rapidly build proof-of-concept (PoC) AI solutions and evaluate their impact in real-world industrial workflows before scaling them into production.
- Apply generative AI models, including LLMs to create AI agents capable of reasoning, planning, and autonomous execution.
- Integrate AI-driven decision-making into existing industrial systems, such as enterprise resource planning (ERP), and enterprise platforms.
- Develop scalable AI pipelines and architectures to deploy, monitor, and continuously improve intelligent automation systems.
- Design, develop, and deploy AI-driven autonomous agents tailored for industrial applications, implement agentic AI applications that enable task completion in industrial settings.
- Conduct testing, validation, and optimization of AI models to ensure reliability, safety, and regulatory compliance in industrial settings.
- Stay ahead of the latest advancements in generative AI, reinforcement learning, and multi-agent systems to drive innovation within the company.
Qualifications:
- Masters degree in Data Science.
- Thought leader and expert in applied Generative AI, as proven by technical talk(s) delivered at industry conferences focused on Generative AI.
- Proven experience in closely collaborating with leading AI frontier labs, specifically OpenAI, to leverage the latest capabilities of the models.
- Experience in building and deploying gen AI applications at scale, in production, in enterprise settings.
- Expertise in prompt engineering best practices, demonstrated through successfully rolled out solutions.
- Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results and impact.
- Proven ROI of prior generative AI products and applications is a must.
- Proficiency in frameworks including LangChain for AI applications.
- Programming skills in Python, with experience in AI-driven automation and API integration.
- Experience working directly with customers, business stakeholders, and domain experts to co-develop AI solutions.
- Ability to rapidly prototype and iterate on AI-driven workflows, ensuring solutions are both technically robust and aligned with business objectives.
- Strong problem-solving skills, innovation mindset, and ability to thrive in a fast-paced, experimental work environment.
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
Specialist, Applied AI Engineer employer: IFS
Contact Detail:
IFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Specialist, Applied AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in generative AI and machine learning. This will not only help you understand the technical requirements of the role but also allow you to engage in meaningful conversations with the team during interviews.
✨Tip Number 2
Showcase your experience with rapid prototyping and iterative development. Be prepared to discuss specific projects where you've successfully built proof-of-concept AI solutions, as this aligns closely with the responsibilities of the role.
✨Tip Number 3
Highlight your collaborative skills by sharing examples of how you've worked with customers and domain experts to identify pain points and develop tailored AI solutions. This will demonstrate your ability to align technical work with business objectives.
✨Tip Number 4
Stay updated on frameworks like LangChain and be ready to discuss your programming skills in Python. Being able to articulate your technical expertise will set you apart from other candidates and show that you're well-prepared for the role.
We think you need these skills to ace Specialist, Applied AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, particularly in generative AI and machine learning. Use specific examples of projects you've worked on that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Discuss how your background and skills make you a perfect fit for IFS, and mention any experience you have with collaborative projects or customer engagement.
Showcase Technical Skills: Clearly list your programming skills, especially in Python, and any frameworks like LangChain that you are proficient in. Provide examples of how you've applied these skills in real-world scenarios to solve complex problems.
Highlight Collaborative Experience: Since the role involves working closely with customers and domain experts, emphasise any past experiences where you successfully collaborated with stakeholders to develop AI solutions. This will demonstrate your ability to work in a team-oriented environment.
How to prepare for a job interview at IFS
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with generative AI and machine learning in detail. Highlight specific projects where you've successfully implemented AI solutions, focusing on the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to industrial applications. This will allow you to showcase your ability to identify pain points and propose innovative AI-driven solutions.
✨Emphasise Collaboration Experience
Since the role involves working closely with customers and domain experts, share examples of how you've collaborated in the past. Discuss how you gathered requirements, iterated on solutions, and ensured alignment with business objectives.
✨Stay Updated on AI Trends
Make sure to demonstrate your knowledge of the latest advancements in generative AI and multi-agent systems. Mention any recent developments or trends that excite you and how they could be applied to IFS's work.