Home Jobs AI Engineer
Back to Jobs

AI Engineer - Job Opportunity at Flipped.ai

London, United Kingdom
Full-time
Mid-level
Posted: July 1, 2025
On-site
£75,000 - £100,000 per year

Key Responsibilities

Architect and implement comprehensive AI strategy that directly drives business growth and competitive advantage in the fintech sector
Lead end-to-end ownership of AI feature development from conception to production deployment, ensuring scalable and maintainable solutions
Pioneer advanced data management techniques using embeddings and vector search to deliver superior user experiences and platform performance
Drive cross-functional collaboration to integrate cutting-edge AI capabilities across marketing, product, and business operations
Establish thought leadership by researching and implementing emerging AI methodologies including advanced prompting and AI agent frameworks
Shape the future technology landscape of the organization through strategic innovation and breakthrough AI applications
Cultivate a high-performance engineering culture focused on technical excellence, rapid iteration, and transformative innovation

Requirements

Education

Bachelor's or Master's in Computer Science, AI/ML, or related fields, with a focus on deep learning, neural networks, and generative AI

Experience

At least 2-7 years of experience in AI/ML, with expertise in developing, fine-tuning, and optimizing large language models and transformer-based architectures

Required Skills

Profound knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) In-context learning workflows, including data preprocessing, embedding, prompt construction, and execution Demonstrated experience with API integration and the development of AI agents Ability to test and design AI performance and reliability measures Strong programming skills in Python, JavaScript, or similar languages Thorough understanding of software engineering best practices Exceptional communication skills, capable of conveying complex AI concepts to both technical and non-technical stakeholders Robust background in emerging technologies, specifically large language models (LLMs) like GPT, LLAMA, BERT, and transformer-based architectures
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The fintech industry is experiencing unprecedented AI adoption with large language models becoming essential for personalized financial services, automated advisory platforms, and enhanced customer engagement. Financial institutions are investing heavily in AI to compete with emerging fintech disruptors who leverage AI-native approaches. Wealth management technology platforms are increasingly incorporating conversational AI and intelligent automation to democratize financial advisory services, making sophisticated investment strategies accessible to retail investors through AI-powered interfaces and personalized recommendations. The regulatory landscape for AI in finance is rapidly evolving, with increasing emphasis on explainable AI, bias detection, and responsible AI implementation, creating demand for engineers who can build compliant and transparent AI systems in financial contexts.

Salary Evaluation

The salary range of £75,000-£100,000 is competitive for mid-level AI engineers in London's fintech sector. This represents a strong market-rate compensation package that reflects the high demand for LLM expertise in financial technology, with potential for significant growth as the candidate develops specialized fintech AI experience.

Role Significance

Likely working within a lean, agile team of 5-15 engineers with direct collaboration across product, marketing, and business teams. The role suggests being one of the primary AI technical leads in a growing startup environment.
This role represents a mid-to-senior individual contributor position with significant strategic influence and technical leadership responsibilities. The engineer will have substantial autonomy in shaping AI direction while working closely with executive leadership on technology strategy.

Key Projects

Development of AI-powered wealth management advisory systems that provide personalized investment recommendations Implementation of conversational AI interfaces for customer financial planning and portfolio management Creation of intelligent document processing and analysis systems for financial data interpretation Building AI-driven risk assessment and fraud detection mechanisms integrated into the wealth management platform

Success Factors

Ability to translate complex AI capabilities into tangible business value and user experience improvements in the financial services context Strong entrepreneurial mindset with capability to thrive in ambiguous, fast-paced startup environments while maintaining technical excellence Deep understanding of both cutting-edge AI research and practical implementation challenges in production financial systems Exceptional stakeholder management skills to communicate AI strategy and technical decisions to diverse audiences including investors, regulators, and customers Continuous learning agility to stay ahead of rapid developments in both AI technology and fintech regulatory requirements

Market Demand

Extremely high demand driven by the intersection of AI advancement and fintech innovation. The specific combination of LLM expertise and financial technology application creates a highly sought-after skill set with limited supply in the current market.

Important Skills

Critical Skills

Large Language Model expertise is absolutely essential as the core technology driving the platform's competitive advantage. Deep understanding of transformer architectures, fine-tuning techniques, and optimization strategies directly impacts product performance and user satisfaction. Python programming proficiency is fundamental for AI development, model implementation, and integration with existing systems. Strong software engineering practices ensure scalable, maintainable solutions in a fast-growing startup environment. Vector search and embedding technologies are critical for building intelligent financial advisory systems that can understand and respond to complex user queries about investments, market conditions, and financial planning strategies. API integration skills are vital for connecting AI models with financial data sources, third-party services, and user interfaces, enabling seamless user experiences and comprehensive financial platform functionality.

Beneficial Skills

JavaScript expertise enhances full-stack development capabilities and enables better collaboration with frontend teams on user interface development and real-time AI feature integration. Financial domain knowledge accelerates understanding of use cases, regulatory requirements, and user needs, enabling more effective AI solution design and faster time-to-market for new features. Cloud platform experience with AWS, Azure, or GCP provides scalability and reliability advantages for AI model deployment and data processing in production environments. Experience with MLOps and model monitoring tools enables robust production AI systems with proper performance tracking, model versioning, and automated deployment pipelines.

Unique Aspects

The role combines cutting-edge LLM technology with the highly regulated and complex domain of wealth management, requiring both technical innovation and deep understanding of financial services
Opportunity to shape AI strategy from the ground up in a startup environment with direct impact on product development and business outcomes
Focus on consumer fintech applications of AI technology, requiring user experience design thinking alongside technical implementation
The role spans from hands-on technical development to strategic planning and cross-functional leadership, offering comprehensive AI engineering experience

Career Growth

Career progression to senior leadership roles typically achievable within 2-4 years given the rapid growth trajectory of AI-focused fintech companies and the high-impact nature of this role.

Potential Next Roles

Senior AI Engineering Manager leading larger AI teams and multiple product initiatives Head of AI/Chief AI Officer role responsible for organization-wide AI strategy and implementation Principal AI Engineer or AI Architect role focusing on complex technical challenges and system design AI Product Manager role combining technical expertise with product strategy and market development

Company Overview

Flipped.ai

Flipped.ai appears to be an emerging fintech startup focused on AI-powered wealth management technology, positioning itself at the intersection of artificial intelligence and financial services. The company is building platforms that leverage large language models to enhance user experience in financial planning and investment management.

As a startup in the competitive fintech AI space, Flipped.ai is likely seeking to differentiate through advanced AI capabilities and user experience innovation. The company is positioned to compete with both traditional wealth management firms and other AI-native fintech startups.
Based in London, the company operates in one of Europe's leading fintech hubs with access to significant talent pools, investment capital, and regulatory frameworks that support financial innovation. This location provides strategic advantages for European market expansion and regulatory compliance.
The startup environment emphasizes autonomy, rapid innovation, and cross-functional collaboration. The culture likely rewards entrepreneurial thinking, technical excellence, and the ability to translate AI research into practical business applications with significant individual impact and responsibility.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.