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For Companies At a Glance
- Tasks: Build AI-powered features and drive innovative projects in a collaborative environment.
- Company: Join G2, the leading software marketplace transforming the B2B software industry.
- Benefits: Enjoy competitive salary, health benefits, remote work, and opportunities for professional growth.
- Why this job: Make a real impact with cutting-edge AI technologies and be part of a dynamic team.
- Qualifications: 8-10 years in programming, expertise in Ruby on Rails or Python, and experience with AI systems.
- Other info: Inclusive culture with strong DEI initiatives and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About G2 - The Company
G2 is the world's largest and most trusted software marketplace. When you join G2, you're joining the industry's leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users. Now, we have joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.
About G2 - Our People
At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness). Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other's successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.
About The Role
G2 is looking for a Staff Software Engineer specializing in AI/Generative technologies, you will be a hands-on technical leader building sophisticated AI-powered features within our product suite. This role suits an engineer who views AI as a powerful collaborator and is ready to drive high-impact generative AI initiatives. You will implement AI-first solutions, develop prompt engineering best practices, and mentor team members on AI-augmented development.
In This Role, You Will
- Build AI-first features: Design and implement intelligent features from concept to production within our Python platform. Drive technical decisions for your projects and ensure solutions are scalable, maintainable, and aligned with product requirements.
- Develop prompt-engineering solutions: Create, test, and refine prompts for production use cases including data synthesis, content generation, and workflow automation. Build automated prompt-testing frameworks and measure model performance to optimize results.
- Champion AI-augmented development: Serve as the go-to expert on AI coding assistants within your team. Demonstrate best practices for integrating tools like GitHub Copilot and Claude Code into daily workflows, and help teammates increase their productivity through effective AI collaboration.
- Implement AI integrations: Evaluate and integrate third-party and open-source AI models into our backend (Python) and frontend (JavaScript, Hotwire, React) systems. Build reliable, production-grade implementations that solve real customer problems using LLM APIs.
- Build agentic architectures: Design and implement agent-based patterns that effectively combine LLM autonomy with human oversight, tool use, and multi-step reasoning workflows.
- Enable AI with quality data: Build data pipelines and ensure data quality for AI-driven features. Apply expert-level SQL and PostgreSQL skills to support model training, fine-tuning, and inference.
- Collaborate on AI initiatives: Work closely with product managers, designers, and data scientists to deliver AI-powered features. Provide technical input on feasibility, effort, and approach for AI projects on your team.
- Ensure quality and reliability: Implement comprehensive testing strategies (unit, integration, functional) for AI features. Champion code quality, performance optimization, and operational reliability in production.
- Mentor team members: Guide other engineers on your team in AI technologies and best practices. Share knowledge through code reviews, pair programming, and technical discussions.
Minimum Qualifications
We realize applying for jobs can feel daunting at times. Even if you don't check all the boxes in the job description, we encourage you to apply anyway.
- 8 to 10 years of professional programming experience in web application environments.
- Expert-level proficiency in Ruby on Rails and/or Python; strong working knowledge of modern JavaScript frameworks.
- Hands-on experience building agentic AI systems and implementing multi-step reasoning patterns with LLMs.
- Direct experience working with LLM APIs from providers such as OpenAI, Anthropic, or Google, including prompt engineering and response handling.
- Regular use of AI coding assistants (e.g., GitHub Copilot, Claude Code) as part of your daily development workflow.
- Solid understanding of the generative AI landscape, including strengths and limitations of major models.
- Experience with agile development practices including CI/CD, code reviews, and feature flags.
- Bachelor's degree in Computer Science or related field; advanced degree preferred.
What Can Help Your Application Stand Out
- Experience with AI frameworks such as Langchain, LlamaIndex, ollama, FastMCP, or similar agent orchestration tools.
- Experience fine-tuning or deploying open-source models for specific use cases.
- Contributions to open-source AI/ML projects or relevant publications.
- Advanced PostgreSQL skills including performance tuning and query optimization.
- Experience with Hotwire and Tailwind CSS within a design system.
Our Commitment to Inclusivity and Diversity
At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status.
How We Use AI Technology in Our Hiring Process
G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.
Staff Software Engineer (AI) in London employer: g2
Contact Detail:
g2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer (AI) in London
✨Tip Number 1
Network like a pro! Reach out to current or former G2 employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at G2. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into G2's products and values. Understand how AI is shaping their offerings and think of ways you can contribute. Show them you're not just a fit for the role, but also for their culture!
✨Tip Number 3
Practice coding challenges and technical questions that are relevant to the Staff Software Engineer role. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence during the interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the G2 team. Let’s get you on board!
We think you need these skills to ace Staff Software Engineer (AI) in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and generative technologies shine through. We want to see how you view AI as a collaborator and how it inspires your work. Share specific examples of projects or experiences that highlight your passion!
Tailor Your Application: Make sure to customise your application to align with our PEAK values—Performance, Entrepreneurship, Authenticity, and Kindness. Highlight experiences that demonstrate these values in action. It shows us you understand our culture and are ready to contribute!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, especially those related to AI and software engineering. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about G2 and what we stand for before you hit 'submit'!
How to prepare for a job interview at g2
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those mentioned in the job description. Be ready to discuss your hands-on experience with LLM APIs and prompt engineering. Show them you’re not just familiar with the concepts but have actually implemented them in real projects.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding prowess, particularly in Python and Ruby on Rails. You might be asked to solve a problem or write some code during the interview, so practice common algorithms and data structures. Being able to articulate your thought process while coding can really impress the interviewers.
✨Emphasise Team Collaboration
G2 values teamwork, so be ready to share examples of how you've collaborated with product managers, designers, and other engineers. Discuss how you’ve mentored others in AI technologies and contributed to a positive team environment. This will show that you align with their PEAK values.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of your interview. Inquire about G2's approach to AI integration or how they foster innovation within their teams. This shows your genuine interest in the role and helps you assess if G2 is the right fit for you.