Applied AI Engineer

TN United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is on the lookout for experienced AI Engineers to drive innovation in generative AI and machine learning. In this pivotal role, you will collaborate with customers to tackle complex industrial challenges, leveraging your expertise to design, develop, and deploy cutting-edge AI-driven workflows. Your creativity and technical acumen will be essential as you prototype solutions and integrate AI into existing systems. This is an exciting opportunity to shape the future of AI applications in industrial settings while working in a fast-paced, collaborative environment that values innovation and impact.

Qualifications

• Strong problem-solving skills and innovation mindset required.
• Technical degree in computing or equivalent experience preferred.

Responsibilities

• Work with customers to identify pain points and prototype AI-driven solutions.
• Rapidly build and evaluate proof-of-concept AI solutions for industrial workflows.

Skills

Problem-solving skills

Innovation mindset

Programming skills in AI-driven automation

Experience in prompt engineering

Collaboration with domain experts

Education

Technical degree in computing

Tools

AI frameworks

Enterprise resource planning (ERP)

Job description

We are seeking experienced, product-minded AI Engineers 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 technical background in AI approaches and prior experience in delivering AI solutions, 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 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:

1. Work closely with customers, domain experts, and use case leads to identify pain points, define AI-driven solutions, and iteratively prototype use cases.
2. Rapidly build proof-of-concept (PoC) AI solutions and evaluate their impact in real-world industrial workflows before scaling them into production.
3. Apply generative AI models, including LLMs, to create AI agents capable of reasoning, planning, and autonomous execution.
4. Integrate AI-driven decision-making into existing industrial systems, such as enterprise resource planning (ERP), and other enterprise platforms.
5. Design, develop, and deploy AI-driven autonomous agents tailored for industrial applications, implement agentic AI applications that enable task completion in industrial settings.
6. Test, validate, and optimize AI solutions to ensure reliability, safety, and regulatory compliance in industrial settings.
7. Stay ahead of the latest advancements in generative AI and multi-agent systems to drive innovation within the company.

Qualifications

1. Strong problem-solving skills, innovation mindset, and ability to thrive in a fast-paced, experimental environment.
2. Technical degree in a computing related discipline, or equivalent industry or academic experience.
3. Experience in collaborating with or leveraging tools from leading AI frontier labs, to make the most of the capabilities of the models is a plus.
4. Experience in building and deploying gen AI applications in 0 to 1 stage. Ability to rapidly prototype and iterate on AI-driven workflows, ensuring solutions are both technically sound and aligned with business objectives.
5. Expertise in prompt engineering best practices, demonstrated through successfully rolled out solutions.
6. Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results and impact.
7. Programming skills in AI driven automation and API integrations.
8. Experience working directly with customers, business stakeholders, and domain experts to co-develop AI solutions.