At a Glance
- Tasks: Rapidly prototype and develop innovative GenAI solutions using cutting-edge tools.
- Company: Join Fractal Analytics, a leading AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with flexible working days and exciting career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on client projects.
- Qualifications: 5+ years in software or AI development, strong Python skills, and rapid prototyping experience.
The predicted salary is between 60000 - 80000 € per year.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.
ABOUT FRACTAL
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. For more information, please visit fractal.ai.
ROLE SUMMARY
We are looking for a GenAI Prototyping Specialist to be embedded within Fractal’s EMEIA team, focused 100% on new capability development. This is not a reporting or maintenance role - it is a fast-paced, innovation-first position where you will rapidly conceptualize, build, and iterate on proof-of-concept AI solutions using cutting-edge LLM tooling. You will work in close collaboration with the Fractal Engagement Manager and client stakeholders to identify high-value GenAI use cases aligned to client priorities, progress the strongest concepts from initial POC through to business-prototype stage suitable for senior stakeholder demonstration, and contribute to showcase deliverables targeting global leadership audiences. The work is adaptive in nature - there is no fixed project plan or pre-defined requirements document. Priorities are set collaboratively on a rolling basis in response to the client’s emerging needs, making this ideal for someone who thrives in ambiguity, moves fast, and gets energy from building things that didn’t exist yesterday.
KEY RESPONSIBILITIES
- Rapid Prototyping & POC Development: Rapidly conceptualize, build, and iterate on proof-of-concept GenAI solutions using LLM tooling including Claude Code, and client-specific LLM platforms and tools. Generate and evaluate new POC ideas on a rolling basis, aligned to client priorities identified in weekly sessions with the Fractal lead and client stakeholders. Progress high-value POCs from initial concept through to business-prototype stage, suitable for demonstration to senior stakeholders including global leadership. Apply strong product intuition to identify which concepts have the highest potential for business impact and scalability and focus effort accordingly.
- Collaboration & Stakeholder Engagement: Attend in-person working sessions at the client’s London office on Tuesdays, Wednesdays, and Thursdays each week. Participate in brief daily or weekly sync sessions with the Fractal Engagement Manager to align on priorities, share progress, and incorporate feedback. Present prototypes and technical approaches to client stakeholders, articulating both the business value and technical underpinnings of each solution. Operate as a self-directed contributor within a small, high-trust team - comfortable navigating ambiguity and taking ownership without detailed specifications.
- Documentation & Handoff: Document prototypes, technical approaches, architectural decisions, and outcomes to a standard suitable for handoff into the client’s global product pipeline. Contribute to a showcase deliverable targeting mid-June 2026, presenting select POCs to client stakeholders including global leadership. Create lightweight but clear technical documentation that enables other engineers to understand, extend, or productionize prototype solutions.
REQUIRED QUALIFICATIONS
- 5 + years of professional experience in software engineering, ML engineering, or applied AI development.
- Strong proficiency in Python for rapid prototyping, data manipulation, API integration, and ML model experimentation.
- Hands-on experience with GenAI/LLM application development - including prompt engineering, RAG architectures, tool use, and agentic workflows.
- Demonstrated experience using AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, Cursor) as a core part of the development workflow to accelerate prototyping velocity.
- Working knowledge of ML fundamentals: classification, regression, clustering, NLP, embeddings, and model evaluation.
- Ability to move from idea to working prototype extremely quickly - comfort with imperfect code, fast iteration, and progressive refinement over waterfall planning.
- Strong communication skills - able to demo prototypes, explain technical concepts to non-technical stakeholders, and articulate the “so what” of each solution.
- Self-directed and adaptable - comfortable working without detailed specifications in a fast-changing, priority-shifting environment.
PREFERRED QUALIFICATIONS
- Experience with multiple LLM providers and platforms (Anthropic Claude, OpenAI, open-source models via Hugging Face) and the ability to select the right model for the task.
- Familiarity with front-end development (React, HTML/CSS, Streamlit, Gradio) for building interactive demo interfaces around AI prototypes.
- Experience with cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) for model hosting and API integration.
- Background in marketing technology, digital marketing, or consumer-facing product development.
- Experience working in embedded consulting or contractor roles within large enterprise environments.
- Familiarity with vector databases (Pinecone, ChromaDB, Weaviate) and semantic search architectures.
- Prior experience building and presenting POCs or demo prototypes to senior/executive stakeholders.
- Experience with multi-agent frameworks (LangGraph, AutoGen, CrewAI) or workflow orchestration tools.
ENGAGEMENT MODEL & WORKING ARRANGEMENT
Engagement Type: Fractal FTE, embedded within Client’s EMEIA team at the client’s London office. Primary Location: Client office, Central London In-Person Days: Tuesday, Wednesday, Thursday each week. Remote Days: Monday and Friday (flexible).
EDUCATION
Bachelor’s degree in computer science, Data Science, Machine Learning, Software Engineering, or a related technical field. Master’s degree is a plus but not required. Self-taught engineers with strong portfolios and demonstrated prototyping ability are welcome.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
GenAI Prototyping Specialist in London employer: Fractal
Fractal Analytics is an exceptional employer, fostering a vibrant work culture that thrives on innovation and collaboration. Located in the heart of Central London, employees enjoy a hybrid working model that promotes flexibility while engaging directly with clients in dynamic sessions. With a strong commitment to employee growth, Fractal empowers its team members to explore their creativity and develop cutting-edge AI solutions, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Prototyping Specialist in London
✨Tip Number 1
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 Fractal. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best GenAI prototypes and projects. When you apply through our website, include links to your work so we can see your creativity and technical prowess in action.
✨Tip Number 3
Be ready to chat! If you land an interview, prepare to discuss your past projects and how you tackled challenges. We love candidates who can articulate their thought process and demonstrate their problem-solving skills.
✨Tip Number 4
Stay adaptable! The role is all about innovation and rapid prototyping, so be prepared to think on your feet. Show us that you thrive in ambiguity and can pivot quickly when new ideas come up during discussions.
We think you need these skills to ace GenAI Prototyping Specialist in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for GenAI and innovation shine through! We want to see that you truly believe in what you're doing and are excited about the potential of AI solutions.
Tailor Your Experience:Make sure to highlight your relevant experience in software engineering and AI development. We’re looking for someone who can move quickly from idea to prototype, so share examples that showcase your rapid prototyping skills and adaptability.
Be Clear and Concise:While we love creativity, clarity is key! Keep your application straightforward and to the point. Use simple language to explain your technical skills and how they relate to the role, especially when discussing complex concepts.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Fractal
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, especially Python and GenAI/LLM applications. Brush up on your experience with AI-assisted coding tools like Claude Code and GitHub Copilot, as you'll likely be asked to demonstrate your proficiency.
✨Showcase Your Prototyping Skills
Prepare to discuss specific examples of rapid prototyping you've done in the past. Be ready to explain how you moved from concept to working prototype quickly, and highlight any challenges you faced and how you overcame them. This will show your adaptability and problem-solving skills.
✨Engage with Stakeholders
Since this role involves collaboration with client stakeholders, practice articulating technical concepts in a way that non-technical people can understand. Think about how you would present your prototypes and the business value they bring, as communication is key in this position.
✨Embrace Ambiguity
This role thrives in a fast-paced, ever-changing environment. Prepare yourself to discuss how you handle ambiguity and shifting priorities. Share examples of times when you successfully navigated unclear project requirements and still delivered results.
