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- Tasks: Design and build cutting-edge AI systems that drive real business impact.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Be part of a team shaping the future of AI with impactful projects.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in AI systems required.
The predicted salary is between 36000 - 60000 £ per year.
ABS is seeking an exceptional Software Engineer to join our Applied Artificial Intelligence (AI) Practice Team. In this full-time role, you will design, build, and deploy intelligent systems that move beyond research into production at scale. You will focus on architecting and evaluating multi-agent systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned large language models delivering AI capabilities that drive measurable business impact.
What You Will Do:
- Build at the frontier: Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
- Engineer full-stack solutions: Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
- Raise the bar on evaluation: Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
- Prototype rapidly: Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
- Shape best practices: Contribute to internal standards for applied AI development, evaluation, and deployment at scale.
What You Will Need:
- Education and Experience: Bachelor’s degree in Computer Science, Engineering, or a related field. + years of software development experience, including + years building production-grade AI systems. Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact. Experience designing evaluation frameworks and truth sets for applied AI quality assurance.
- Knowledge, Skills, and Abilities: Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.). Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies. Experience with LLM fine-tuning, prompt design, and model performance evaluation. Full-stack engineering skills across modern web and backend technologies. Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale. Strong grounding in applied information retrieval and vector-based systems.
- Must hold a valid right to work status in the UK.
Reporting Relationships: This role reports to a project manager and does not initially include direct reports.
Software Engineer, Applied Artificial Intelligence (AI) in London employer: American Bureau of Shipping
Contact Detail:
American Bureau of Shipping Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Applied Artificial Intelligence (AI) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or multi-agent workflows. We want to see your work in action, so make sure it’s easy to access and highlights your best achievements.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of AI concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer, Applied Artificial Intelligence (AI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and full-stack engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied AI and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI-related projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to build and deploy intelligent systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at American Bureau of Shipping
✨Know Your AI Stuff
Make sure you brush up on your knowledge of multi-agent systems, retrieval-augmented generation (RAG) pipelines, and large language models. Be ready to discuss how you've applied these concepts in your previous work and how they can drive business impact.
✨Showcase Your Full-Stack Skills
Prepare to talk about your experience with both web and backend applications. Highlight specific projects where you integrated AI solutions, focusing on reliability and user experience. Don’t forget to mention any tools or frameworks you used!
✨Demonstrate Evaluation Expertise
Be ready to explain how you've developed evaluation frameworks and truth sets in your past roles. Discuss the importance of automated quality checks and real-time monitoring in quantifying performance and outcomes.
✨Prototype Like a Pro
Share examples of how you've rapidly prototyped AI systems from research concepts to production-grade solutions. Talk about your approach to fast iteration, testing, and refinement, as well as any challenges you faced and how you overcame them.