At a Glance
- Tasks: Rapidly prototype and develop innovative GenAI solutions using cutting-edge tools.
- Company: Join Fractal Analytics, a leader in AI innovation for Fortune 500 companies.
- Benefits: Enjoy hybrid work, competitive salary, and a vibrant team culture.
- Other info: Dynamic role with opportunities for creativity and professional growth.
- Why this job: Be at the forefront of AI technology and make impactful contributions.
- Qualifications: 5+ years in software or AI development with strong Python skills.
The predicted salary is between 70000 - 90000 £ 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.
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 Lead — Rapid POC Innovator employer: Fractal Analytics
Fractal Analytics is an exceptional employer that fosters a vibrant and innovative work culture, where creativity and collaboration are at the forefront. Located in 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 and development, Fractal empowers its team members to explore new ideas and rapidly prototype cutting-edge AI solutions, making it an ideal environment for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Prototyping Lead — Rapid POC Innovator
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Fractal. Attend meetups or webinars where you can chat about GenAI and showcase your passion for innovation.
✨Tip Number 2
Show off your prototypes! If you've built any cool projects or POCs, make sure to have them ready to share. A hands-on demonstration can really set you apart from the crowd.
✨Tip Number 3
Be adaptable and ready to pivot. In a fast-paced environment like Fractal, showing that you can thrive in ambiguity and quickly adjust to new priorities will impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and contributing to the exciting work we do.
We think you need these skills to ace GenAI Prototyping Lead — Rapid POC Innovator
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm shine through! We want to see that you truly believe in what you're doing and are excited about the role. Share why this position at Fractal excites you and how it aligns with your career goals.
Tailor Your Application:Make sure to customise your CV and cover letter for the GenAI Prototyping Lead role. Highlight your relevant experience and skills that match the job description. We love seeing how your background fits into our innovative environment!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that we receive all your details correctly and can process your application smoothly. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Fractal Analytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest GenAI and LLM tools, especially those mentioned in the job description like Claude Code. Brush up on your Python skills for rapid prototyping and be ready to discuss how you've used AI-assisted coding tools in your past projects.
✨Showcase Your Prototyping Skills
Prepare to demonstrate your ability to move from concept to prototype quickly. Bring examples of previous POCs you've developed, and be ready to explain the thought process behind your choices and how they align with business needs.
✨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 can present your prototypes to highlight their business value effectively.
✨Embrace Ambiguity
This position thrives in a fast-paced, ever-changing environment. Be prepared to discuss how you handle uncertainty and shifting priorities. Share examples of times when you successfully navigated ambiguity to deliver results.