GenAI Prototyping Specialist

📍 Job Overview

Job Title: GenAI Prototyping Specialist

Company: Fractal Analytics

Location: London, United Kingdom

Job Type: FULL_TIME

Category: AI/ML Engineering & Prototyping

Date Posted: 2026-05-22

Experience Level: 5-10 Years Professional Experience

Remote Status: Hybrid (3 days in-office)

🚀 Role Summary

• Spearhead the rapid conceptualization, development, and iteration of Generative AI (GenAI) and Large Language Model (LLM) based proof-of-concepts (POCs) and business prototypes.

• Collaborate closely with Fractal's EMEIA team and client stakeholders to identify and prioritize high-value GenAI use cases, driving innovation from initial idea to demonstrable prototype.

• Leverage cutting-edge LLM tooling, including Claude Code and other advanced platforms, to accelerate development velocity and deliver impactful AI solutions.

• Contribute to critical showcase deliverables aimed at global leadership, effectively communicating both the technical feasibility and business value of developed prototypes.

📝 Enhancement Note: This role is specifically designed for an innovation-focused individual, embedded within a client's team, emphasizing rapid development and tangible output over traditional project management. The "no fixed project plan" and "priority shifting" aspects highlight the need for adaptability and a proactive, self-directed approach, common in advanced R&D or specialized consulting engagements.

📈 Primary Responsibilities

• Rapid Prototyping & POC Development: Conceptualize, build, and iterate on GenAI solutions using LLM tooling, generating and evaluating new POC ideas aligned with client priorities identified in collaborative sessions.

• Business Prototype Progression: Advance high-potential POCs from initial concept through to business-prototype stage, ensuring readiness for demonstration to senior stakeholders, including global leadership.

• Product Intuition & Impact Identification: Apply strong product sense to identify concepts with the highest potential for business impact and scalability, focusing efforts strategically.

• Collaboration & Stakeholder Engagement: Attend in-person working sessions at the client's London office (Tuesdays, Wednesdays, Thursdays), participate in daily/weekly syncs with the Fractal Engagement Manager, and present prototypes and technical approaches to client stakeholders.

• Documentation & Handoff: Document prototypes, technical approaches, architectural decisions, and outcomes to a standard suitable for handoff into the client’s global product pipeline, facilitating future development and productionization.

• Showcase Deliverables: Contribute to a key showcase deliverable targeting mid-June 2026, presenting select POCs to client stakeholders, including global leadership.

• Lightweight Technical Documentation: Create clear and concise technical documentation to enable understanding, extension, and productionization of prototype solutions by other engineers.

📝 Enhancement Note: The responsibilities emphasize a blend of deep technical execution (prototyping, code development) and effective communication (stakeholder engagement, documentation). The focus on "business-prototype stage" and "senior stakeholder demonstration" indicates a need to translate technical innovation into business value, a crucial skill for operations and GTM-adjacent roles.

🎓 Skills & Qualifications

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.

Experience:

Required Skills:

• Python Proficiency: Strong command of Python for rapid prototyping, data manipulation, API integration, and ML model experimentation.

• GenAI/LLM Application Development: Hands-on experience with prompt engineering, Retrieval-Augmented Generation (RAG) architectures, tool use, and agentic workflows.

• AI-Assisted Coding: 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.

• ML Fundamentals: Working knowledge of core ML concepts including classification, regression, clustering, Natural Language Processing (NLP), embeddings, and model evaluation.

• Rapid Iteration: Ability to move from idea to working prototype extremely quickly, with comfort in imperfect code, fast iteration, and progressive refinement over waterfall planning.

• Communication Skills: Strong ability to demo prototypes, explain technical concepts to non-technical stakeholders, and articulate the business value ("so what") of each solution.

• Self-Directed & Adaptable: Comfortable working without detailed specifications in a fast-changing, priority-shifting environment, demonstrating ownership and initiative.

Preferred Skills:

• Experience with multiple LLM providers and platforms (Anthropic Claude, OpenAI, open-source models via Hugging Face) and the ability to select the optimal model for a given task.

• Familiarity with front-end development frameworks (React, HTML/CSS) and rapid UI prototyping tools (e.g., Streamlit, Gradio) for building interactive demo interfaces.

• Experience with cloud AI services such as Azure OpenAI, AWS Bedrock, or 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 (e.g., 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 (e.g., LangGraph, AutoGen, CrewAI) or workflow orchestration tools.

📝 Enhancement Note: The "Required Skills" section is rich with operations-relevant keywords like "API integration," "ML model experimentation," and "stakeholder management." The emphasis on rapid iteration and comfort with ambiguity is a key differentiator for candidates seeking roles in fast-paced, innovation-driven environments, often found in GTM or advanced development teams.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Prototyping Velocity: Showcase examples of rapidly developed prototypes, highlighting the speed from concept to functional demonstration.

• GenAI/LLM Application Examples: Include specific projects demonstrating experience with prompt engineering, RAG architectures, tool use, or agentic workflows.

• Technical Documentation Samples: Provide examples of lightweight yet clear technical documentation for code, architecture, or deployment, suitable for handoff.

• Business Impact Articulation: Evidence of translating technical capabilities into clear business value or potential impact, even at the POC stage.

Process Documentation:

• **Iter