Generative AI Engineer in London

Generative AI Engineer in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deploy innovative AI solutions using cutting-edge technologies.
  • Company: Join ChainThat, a leader in transforming the insurance industry with tech.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Be at the forefront of AI innovation and make a real impact in insurance.
  • Qualifications: Experience in Python, generative AI frameworks, and deploying AI applications.
  • Other info: Dynamic team culture that values collaboration and diverse perspectives.

The predicted salary is between 36000 - 60000 ÂŁ per year.

At ChainThat, we are seeking a results‑driven AI engineer to lead and scale our efforts in developing cutting‑edge AI‑driven solutions. The candidate should have significant experience working on Python, REST API, and generative AI technologies. This role will involve designing, developing, and deploying AI models and APIs, fine‑tuning large language models for specific business use cases, and integrating AI capabilities into existing platforms.

If you are driven to achieve, have a growth mindset, and a passion for working with some of the hottest technology out there, then we would love to hear from you. We have ambitious plans and multiple openings, and we want to get you on the team as soon as we can – so we have an accelerated recruitment process and a great onboarding route ready for you.

Who are we? We create enterprise‑grade insurance technology platforms designed to help insurance organizations unlock their full potential. With a presence in the UK, US, and India, we combine industry insights and advanced technology to develop innovative solutions that are faster, more connected, and streamlined. Our platforms go beyond standard offerings, enabling insurers, reinsurers, MGAs, and brokers to achieve genuine agility and seamless connectivity across their ecosystems. Driven by our core purpose and commitment to excellence, we empower our clients to activate agility and embrace the future of insurance.

Job Location: UK

Job Responsibilities:

  • Design, implement, and fine‑tune large language models (LLMs) and generative AI solutions using frameworks like OpenAI, Anthropic Claude, Gemini, or open‑source models.
  • Build and optimize RAG (Retrieval‑Augmented Generation) pipelines, vector databases, and prompt engineering strategies for enhanced AI responses.
  • Develop AI‑powered applications integrating LLMs with APIs, agents, and workflows to solve business use cases.
  • Deploy and monitor generative AI models in production environments, ensuring performance, scalability, and responsible AI practices.
  • Collaborate with cross‑functional teams to translate business requirements into GenAI solutions and stay current with emerging trends in generative AI.
  • Implement guardrails, evaluation frameworks, and testing protocols to ensure output quality, safety, and compliance with ethical AI standards.
  • Experience in utilizing generative AI models (e.g., GPT, Gemini, Claude) to solve business challenges and deliver innovative solutions.
  • Drive innovation by exploring new advancements in Generative AI and vector database technology.
  • Support users by developing documentation and assistance tools.

Essential Qualifications and Skills:

  • Bachelor’s or master’s degree in computer science, Engineering or a related field.
  • Minimum 6 years of experience with Python.
  • Strong experience with GenAI frameworks (Lang Chain, LlamaIndex, Haystack) and LLM APIs (OpenAI, Anthropic, Azure OpenAI).
  • Expertise in prompt engineering, fine‑tuning techniques, and working with vector databases (Pinecone, OpenSearch, Chroma DB, FAISS).
  • Solid understanding of transformer architectures, attention mechanisms, etc.
  • Hands‑on experience deploying AI applications using cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Knowledge of MLOps practices, evaluation metrics for LLMs, and implementing responsible AI principles including bias mitigation and safety guardrails.
  • Develop and maintain REST APIs for seamless integration of AI solutions with enterprise systems.
  • Working experience in any Agentic AI framework (e.g. Lang Graph, crew AI).

Desirable Qualifications and Skills:

  • Experience in the Insurtech or Fintech domain.
  • Knowledge of policy administration systems or insurance industry workflows.

Our promise to you:

You will be joining a team of experts passionate about reshaping the insurance landscape. Our inclusive, supportive, and dynamic work environment encourages collaboration and values diverse perspectives. We are proud to champion innovation, foster professional growth, and make a meaningful impact on the global insurance market. As an equal opportunity employer, we invite you to be part of our journey to transform the industry through cutting‑edge technology and forward‑thinking solutions. Together, let’s activate agility and build the future of insurance.

Generative AI Engineer in London employer: ChainThat Limited

At ChainThat, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. Our commitment to professional growth is evident through our accelerated recruitment process and comprehensive onboarding, ensuring you are well-equipped to thrive in your role as a Generative AI Engineer. With a focus on cutting-edge technology and a mission to reshape the insurance landscape, we provide meaningful opportunities for you to make a significant impact while working alongside industry experts.
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Contact Detail:

ChainThat Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Generative AI Engineer in London

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at ChainThat. Building relationships can open doors that a CV just can't.

✨Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving generative AI and Python. This will give us a clear picture of what you can bring to the table.

✨Ace the Interview

Prepare for technical interviews by brushing up on your knowledge of LLMs and REST APIs. Practice coding challenges and be ready to discuss your thought process. We love seeing how you tackle problems!

✨Apply Through Our Website

Make sure to apply directly through our website! It speeds up the process and shows us you're genuinely interested in joining our team. Plus, we have an accelerated recruitment process waiting for you!

We think you need these skills to ace Generative AI Engineer in London

Python
Generative AI Technologies
REST API Development
Large Language Models (LLMs)
Prompt Engineering
Vector Databases
Cloud Platforms (AWS, Azure, GCP)
Containerization Tools (Docker, Kubernetes)
MLOps Practices
Evaluation Metrics for LLMs
Responsible AI Principles
AI Application Deployment
Collaboration with Cross-Functional Teams
Documentation Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Generative AI Engineer role. Highlight your experience with Python, REST APIs, and any generative AI technologies you've worked with. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team at ChainThat. We love seeing candidates who are driven and have a growth mindset, so let that enthusiasm come through!

Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying AI models or fine-tuning large language models, we want to know about your hands-on experience. It helps us understand your practical skills better.

Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves. Plus, it’s super easy – just a few clicks and you’re in!

How to prepare for a job interview at ChainThat Limited

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python and the generative AI frameworks mentioned in the job description. Brush up on your knowledge of LLMs, REST APIs, and prompt engineering techniques. Being able to discuss specific projects or experiences where you've applied these technologies will really impress the interviewers.

✨Showcase Your Problem-Solving Skills

Prepare to discuss how you've tackled real-world business challenges using generative AI solutions. Think of examples where you designed or deployed AI models that made a significant impact. This will demonstrate your ability to translate complex tech into practical applications, which is key for this role.

✨Stay Current with Trends

The field of generative AI is always evolving, so make sure you’re up-to-date with the latest advancements and trends. Be ready to share your thoughts on emerging technologies and how they could be integrated into existing platforms. This shows your passion for the industry and your growth mindset.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about ChainThat’s projects, team dynamics, and future plans in the generative AI space. This not only shows your interest in the company but also helps you gauge if it’s the right fit for you.

Generative AI Engineer in London
ChainThat Limited
Location: London
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