About the role
Gen AI Python Developer - London
Reference Code: -en_GBContract Type:PermanentProfessional Communities: Data & AIJob Title: Gen AI Python Developer
Location: London
About the Job you are considering:
We are seeking a Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms.
You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Key Responsibilities :
- Design, develop, and deploy AI/ML and Generative AI solutions using Python.
- Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.
- Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex.
- Implement and optimize vector database, semantic search, and hybrid search solutions for AI-powered applications.
- Perform model fine-tuning using advanced techniques such as LoRA and QLoRA to improve model efficiency and performance.
- Develop REST APIs and AI-driven services to enable seamless integration with enterprise applications.
- Monitor, evaluate, and enhance model performance, scalability, reliability, and accuracy in production environments.
- Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into effective AI solutions.
- Contribute to prompt engineering, AI workflow development, and end-to-end solution implementation.
- Support deployment, testing, maintenance, and continuous improvement of AI/ML applications.
- Participate in Agile/Scrum ceremonies, code reviews, documentation, and quality assurance activities.
- Stay updated with emerging trends and advancements in Generative AI, LLMs, and machine learning technologies, and share best practices within the team.
Required Skills
- Strong proficiency in Python programming for AI/ML application development
- Hands-on experience with Machine Learning and Deep Learning techniques
- Expertise in PyTorch, TensorFlow, and Keras frameworks
- Experience developing Generative AI solutions and applications
- Strong understanding of Large Language Models (LLMs) and their architectures
- Hands-on experience with Prompt Engineering and model optimization techniques
- Knowledge of Fine-Tuning methodologies, including LoRA and QLoRA
- Experience working with Hugging Face libraries and model repositories
- Proficiency in LangChain and LlamaIndex for building AI-powered workflows
- Experience implementing Retrieval-Augmented Generation (RAG) frameworks
- Knowledge of Vector Databases and Hybrid Search techniques
- Strong understanding of Natural Language Processing (NLP) concepts and applications
- Experience with data processing, transformation, and feature engineering
- Expertise in developing and integrating REST APIs
- Proficiency with Git and version control best practices
- Experience working in Agile/Scrum environments and cross-functional teams
- Strong analytical, problem-solving, and communication skills
- Ability to design, develop, deploy, and optimize scalable AI solutions in enterprise environments
We are a Disability Confident Employer:
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