Software Engineer (GenAI)
Job description
Original text imported from Reed
This is an fantastic opportunity for a Software Developer (GenAI) to join at an exciting time for AJ Bell as we expand the usage of AI within the business. Our GenAI development team are at the heart of this growth and ee have a strong team working environment, training and excellent career progression for the right person.
Our strategy is to have a cross-functional development team, with team members working on all areas of our technology stack and propositions.
What we're looking for:
We’re seeking an energetic and driven software developer with strong skills and/or interest in Generative AI and large language models to help us deliver cutting-edge GenAI solutions across our business. This is a unique opportunity to not only work with advanced AI technologies but also build and deliver innovative solutions for our business and stakeholders. People who are excited by GenAI technology, love pushing the boundaries of what's possible while at the same time keeping an eye on the bigger picture and ensuring the best outcomes for our stakeholders by providing straightforward but robust solutions.
Key technical skills:
- Strong knowledge and deep experience of Python programming, libraries and toolchains
- Familiarity with large language models (LLMs) like GPT, Gemini, and open-source models such as Lama and MRR
- Solid understanding of RESTful API design and implementation
- Git based source control and JIRA
Bonus points for:
- Knowledge/experience working with Cloud, preferably AWS
- Knowledge of AI/ML and latest AI trends & technologies
- Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM
- CI / CD / Docker / Kubernetes
Soft skills:
- Agile / SCRUM
- Strong technical, problem solving and communication skills
- Keen to learn and develop new technical& non-technical skills
- Passionate, self-starting, flexible and enjoy working in fast-paced environments
About AJ Bell
AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors.
Today, over 644,000 customers trust us to manage more than £103.3 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures.
We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work in 2025 and 2026 a reflection of our supportive and collaborative culture.
What we offer
- Starting salary of ....
- 25 days holiday, increasing with service + buy/sell scheme + bank holidays
- 6% Pension with matched contributions
- Discretionary bonus scheme
- Share schemes (including free shares and BAYE)
- Health Cash Plan and discounted private healthcare
- Free onsite gym
- Enhanced family leave (subject to qualifying criteria)
- Travel and bike loan schemes
- Employee Assistance Programme
Life at AJ Bell
- Regular social events including summer and Christmas parties
- Learning and development opportunities tailored to you
- Casual dress code
- Friendly, supportive team environment
Our ways of working
We offer hybrid working, with a minimum of 50% of your working time per month spent in the office.
For new starters, there’s an initial period of full-time office working to help you settle in and build relationships.
Inclusion & diversity
We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.
We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight your Python programming experience prominently as this is the core technical requirement mentioned multiple times
🤖 Showcase specific LLM projects or experience with GPT, Gemini, or open-source models like Lama to demonstrate GenAI expertise
☁️ Emphasise any AWS cloud experience as bonus points, particularly if you've deployed AI/ML models in cloud environments
🔧 Detail your experience with LLM frameworks like LangChain or Langfuse to stand out from other candidates
📊 Quantify your API development work: "Built 15 RESTful endpoints serving 10k+ daily requests"
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Developed 12 Python-based GenAI applications using LangChain framework, reducing processing time by 45% for 8,000+ daily user queries
- •Built RESTful APIs serving GPT-4 and Gemini models with 99.7% uptime, handling 25,000+ requests per day across 6 business units
- •Implemented CI/CD pipelines for LLM deployments on AWS, cutting release cycles from 3 weeks to 2 days while maintaining zero-downtime deployments
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
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Letter preview — tailored to AJ Bell
Dear Hiring Manager,
AJ Bell's expansion into GenAI technology represents exactly the career direction I want to pursue, particularly your focus on delivering cutting-edge solutions with Python and large language models across your £103.3 billion investment platform.
My background in Python development and experience with LLM frameworks like LangChain positions me well to contribute to your cross-functional GenAI team. I'm particularly drawn to the opportunity to work with both proprietary models like GPT and open-source alternatives while building robust RESTful APIs.
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Interview questions
10 questions generated from this advert.
Technical
- ›How would you approach fine-tuning a large language model for financial services use cases?
- ›Explain the differences between GPT, Gemini, and open-source models like Lama in terms of implementation
- ›How would you design a RESTful API to serve LLM responses with proper error handling?
- ›What considerations would you make when deploying GenAI models on AWS infrastructure?
- ›How would you implement monitoring and observability for LLM applications using tools like Langfuse?
Behavioural
- ›Tell me about a time you had to learn a new technology quickly to deliver a project
- ›Describe a situation where you had to solve a complex technical problem with limited resources
- ›How do you stay current with rapidly evolving AI technologies and trends?
- ›Give an example of when you had to communicate complex technical concepts to non-technical stakeholders
- ›Tell me about a time you worked in a cross-functional team to deliver a solution
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time you had to learn a new technology quickly to deliver a project
How do you stay current with rapidly evolving AI technologies and trends?