Lead AI Engineer
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Key skills for this role
About the Role
Equiti Group is seeking a Lead AI Engineer to drive design and development of advanced AI systems within their fintech ecosystem. You will architect agentic AI, build LLM-powered applications, and lead a team.
Key Skills for This Role
Responsibilities
- Architect and develop agentic AI systems capable of autonomous decision making, tool usage, memory, and workflow orchestration.
- Build production grade ML and LLM powered applications, including recommendation systems, copilots, summarisation tools, and automation engines.
- Design and maintain high performance ML pipelines, including model training, evaluation, and monitoring.
- Lead implementation of RAG, vector search, and other generative AI patterns.
- Apply AI techniques to problems across the financial services spectrum, such as risk assessment, customer intelligence, fraud detection, and operational optimisation.
- Use domain knowledge in CFDs and A book vs. B book models to design intelligent decision heuristics and improve business outcomes.
- Partner with finance, risk, sales, and product teams to translate business needs into AI solutions.
- Lead development of full stack AI applications, covering both back end microservices and front end interfaces.
- Build scalable systems using Python and modern web technologies (e.g., React, Node.js, FastAPI, and Django).
- Ensure best practices in reliability, scalability, security, and cloud native deployment.
- Oversee integration of AI systems into existing infrastructure and business workflows.
- Provide technical leadership and mentorship to AI/ML engineers.
Requirements
- Expert level proficiency in Python for AI and ML engineering.
- Hands on experience with LLMs, agentic frameworks, vector databases, and prompt engineering.
- Strong background in machine learning, deep learning, and applied statistics.
- Solid full stack engineering skills (front end + back end).
- Strong understanding of APIs, microservices, cloud platforms, and MLOps (Azure AI factory).
- Background in finance, trading, or financial technology.
- Understanding of CFDs and A book/B book operating models.
- Ability to translate business needs into scalable AI architectures.
- Strong problem solving, analytical, and communication skills.
- Proven experience delivering AI products end to end in production.
Full Job Posting
Company Overview
- Equiti is a pioneering fintech firm and world class provider of multi asset fintech products from liquidity solutions to in house tech hubs to online trading platforms.
- With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.
Role Overview
- We are looking for an experienced Lead AI Engineer to drive the design and development of advanced AI systems within our fintech ecosystem.
- This role blends expertise in agentic AI, large language models (LLMs), machine learning, and full stack engineering with a strong understanding of financial products, including CFDs and A book/B book models.
AI and Machine Learning Engineering
- Architect and develop agentic AI systems capable of autonomous decision making, tool usage, memory, and workflow orchestration.
- Build production grade ML and LLM powered applications, including recommendation systems, copilots, summarisation tools, and automation engines.
- Design and maintain high performance ML pipelines, including model training, evaluation, and monitoring.
- Lead implementation of RAG, vector search, and other generative AI patterns.
Fintech and Domain Contributions
- Apply AI techniques to problems across the financial services spectrum, such as risk assessment, customer intelligence, fraud detection, and operational optimisation.
- Use domain knowledge in CFDs and A book vs. B book models to design intelligent decision heuristics and improve business outcomes.
- Partner with finance, risk, sales, and product teams to translate business needs into AI solutions.
Engineering and Architecture
- Lead development of full stack AI applications, covering both back end microservices and front end interfaces.
- Build scalable systems using Python and modern web technologies (e.g., React, Node.js, FastAPI, and Django).
- Ensure best practices in reliability, scalability, security, and cloud native deployment.
- Oversee integration of AI systems into existing infrastructure and business workflows.
Leadership and Collaboration
- Provide technical leadership and mentorship to AI/ML engineers.
- Drive the AI roadmap, architectural direction, and technology choices.
- Work cross functionally with engineering, product, finance, and operations to identify opportunities for AI innovation.
Requirements
- Expert level proficiency in Python for AI and ML engineering.
- Hands on experience with LLMs, agentic frameworks, vector databases, and prompt engineering.
- Strong background in machine learning, deep learning, and applied statistics.
- Solid full stack engineering skills (front end + back end).
- Strong understanding of APIs, microservices, cloud platforms, and MLOps (Azure AI factory).
Domain Knowledge
- Background in finance, trading, or financial technology.
- Understanding of CFDs and A book/B book operating models.
- Familiarity with financial risk, liquidity, and market dynamics is advantageous.
Other Competencies
- Ability to translate business needs into scalable AI architectures.
- Strong problem solving, analytical, and communication skills.
- Proven experience delivering AI products end to end in production.
Preferred Qualifications
- Master's or PhD in Computer Science, AI, Engineering, or a related technical field.
- Experience in fintech, quantitative finance, or financial risk systems.
- Experience with high performance or real time systems.
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