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GenAI Prototyping Specialist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Fractal Analytics Ltd.
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Location:

Central London (Hybrid Onsite - Tuesday/Wednesday/Thursday)

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 conceptualise, build, and iterate on proof‑of‑concept AI solutions using cutting‑edge LLM tooling.

Key Responsibilities
  • Rapidly concept, build, and iterate on proof‑of‑concept GenAI solutions, leveraging LLM tooling including Claude Code, client‑specific LLM platforms and tools.
  • Generate and evaluate new POC ideas aligned with 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 stakeholder demonstration.
  • Apply product intuition to prioritise concepts with the highest business impact and scalability.
  • Attend in‑person working sessions at the client’s London office on Tuesdays, Wednesdays, and Thursdays.
  • Participate in daily/weekly sync sessions with the Fractal Engagement Manager, align on priorities, share progress, and incorporate feedback.
  • Present prototypes and technical approaches to client stakeholders, articulating business value and technical underpinnings.
  • Document prototypes, technical approaches, architectural decisions and outcomes in a form suitable for handoff into the client’s global product pipeline.
  • Prepare a showcase deliverable for mid‑June 2026, presenting selected POCs to client stakeholders including global leadership.
  • Create lightweight technical documentation enabling other engineers to understand, extend, or product ionise 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 – prompt engineering, RAG architectures, tool use and agentic workflows.
  • Experience using AI‑assisted coding tools such as Claude Code, Git Hub Copilot or Cursor.
  • Working knowledge of ML fundamentals: classification, regression, clustering, NLP, embeddings and model evaluation.
  • Ability to move from idea to working prototype quickly, comfortable with imperfect code and fast iteration.
  • Strong communication skills – demo prototypes, explain technical concepts to non‑technical stakeholders, articulate the "so what" of each solution.
  • Self‑directed and adaptable – comfortable working without detailed specifications in a fast‑changing environment.
Preferred Qualifications
  • Experience with multiple LLM providers and platforms (Anthropic Claude, OpenAI, open‑source models via Hugging Face).
  • Front‑end development familiarity (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.
  • Embedded consulting or contractor experience within large enterprise environments.
  • Familiarity with vector databases (Pinecone, Chroma

    DB, Weaviate) and semantic search architectures.
  • Previous experience building and presenting POCs or demo prototypes to senior/executive stakeholders.
  • Experience with multi‑agent frameworks (Lang Graph, Auto Gen, CrewAI) or workflow orchestration tools.
Engagement Model & Working Arrangement
  • Employment Type:

    Fractal FTE, embedded within the 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 proven prototyping ability are welcome.
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