Staff Full Stack AI Engineer
Staff Full Stack AI Engineer

Staff Full Stack AI Engineer

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to develop AI-driven software solutions that empower customers globally.
  • Company: Intuit is a leading software company focused on powering prosperity for individuals and businesses.
  • Benefits: Enjoy a full-time role with opportunities for remote work and collaboration with passionate professionals.
  • Why this job: Be part of innovative projects, solve real-world problems, and contribute to impactful technology.
  • Qualifications: 8+ years in software development, with expertise in AI technologies and full-stack development.
  • Other info: Ideal for self-starters who thrive in fast-paced environments and enjoy mentoring others.

The predicted salary is between 48000 - 84000 £ per year.

Come join Intuit as a Staff Software Engineer and help us power prosperity around the world for our customers. We are looking for engineers that love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a small group of passionate engineers, product managers and designers by leveraging AI & relevant technology frameworks.

What you'll bring

  • Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders.
  • 8+ years of experience developing systems/software for large business environments.
  • 5+ years of experience designing complex distributed systems, management products, or business applications.
  • Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
  • Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
  • Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring, Express (NodeJS).
  • Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
  • Prior experience working in teams that have built AI native applications for 1+ years.
  • BS/MS in Computer Science or related area.

Team/Leadership Qualifications

  • Team player possessing strong analytical, problem-solving, and communication skills.
  • Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people.
  • Prefers working in a team and collaborates with other cross-functional partners.
  • Ability to work effectively in a fast-paced, complex technical environment.
  • Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives).
  • "Self-starter" attitude and the ability to make decisions independently.
  • Experience driving for results across cross-functional teams while maintaining effective working relationships.
  • Demonstrated ability to work with global teams across time zones.

How you will lead

  • Drives velocity in the organisation by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
  • Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
  • Understands customer behaviours and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.
  • Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment.
  • Executes with a boundary-less mindset and contributes to solutions outside of their primary area of ownership.
  • Knowledge of building AI native applications.
  • Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
  • Understands evaluation tools to validate and measure the accuracy of solutions.
  • High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
  • Understanding of the latest tools and technologies that apply AI to real-world applications.
  • Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications.
  • Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.

Team/Collaboration: Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration. Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features.

Community: Contributes to standards, patterns, and best practices that improve the engineering community. Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements.

Staff Full Stack AI Engineer employer: Intuit

At Intuit, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and grow. As a Staff Full Stack AI Engineer in London, you'll collaborate with passionate teams, leveraging cutting-edge AI technologies while enjoying robust professional development opportunities and a commitment to work-life balance. Join us to make a meaningful impact and drive prosperity for our customers around the globe.
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Contact Detail:

Intuit Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Full Stack AI Engineer

✨Tip Number 1

Familiarise yourself with the specific AI technologies mentioned in the job description, such as SageMaker and LangChain. Having hands-on experience or projects showcasing these tools can set you apart during discussions.

✨Tip Number 2

Network with current or former employees at Intuit to gain insights into their work culture and expectations. This can help you tailor your approach and demonstrate your understanding of their environment during interviews.

✨Tip Number 3

Prepare to discuss your experience with full-stack development in detail, especially how you've integrated AI into user experiences. Be ready to share specific examples that highlight your problem-solving skills.

✨Tip Number 4

Showcase your ability to work in cross-functional teams by preparing anecdotes that illustrate your collaboration with product managers and designers. Highlighting your teamwork will resonate well with Intuit's emphasis on collaboration.

We think you need these skills to ace Staff Full Stack AI Engineer

Full-Stack Development
AI Technologies (SageMaker, LangChain, DialogFlow)
Large Language Models
Prompt Engineering
Python Programming
Front-end Technologies (React, Angular, SwiftUI, Kotlin)
Back-end Technologies (Java, Typescript, Spring, Express)
Cloud Computing (AWS, GCP)
Distributed Systems Design
Analytical Skills
Problem-Solving Skills
Communication Skills
Team Collaboration
Mentoring Skills
Understanding of AI Model Evaluation
Technical Design and Implementation
Continuous Learning and Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with full-stack development, AI technologies, and any relevant projects. Use keywords from the job description to demonstrate that you meet the qualifications.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and software engineering. Mention specific experiences that showcase your problem-solving skills and ability to work in cross-functional teams, as these are key attributes for the role.

Showcase Relevant Projects: If you have worked on AI-related projects or applications, include them in your application. Describe your role, the technologies used, and the impact of the project to illustrate your hands-on experience.

Prepare for Technical Questions: Anticipate technical questions related to full-stack development and AI technologies during the interview process. Brush up on your knowledge of tools like SageMaker, React, and cloud computing environments to demonstrate your expertise.

How to prepare for a job interview at Intuit

✨Showcase Your Full-Stack Expertise

Be prepared to discuss your experience with both front-end and back-end technologies. Highlight specific projects where you've successfully integrated AI tools, as this role requires a strong understanding of full-stack development.

✨Demonstrate Problem-Solving Skills

Intuit values engineers who can tackle tough challenges. Prepare examples of complex problems you've solved in previous roles, particularly those involving distributed systems or AI applications, to showcase your analytical abilities.

✨Communicate Clearly and Effectively

Since the role involves collaboration with cross-functional teams, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, demonstrating your communication skills.

✨Emphasise Continuous Learning

Intuit is looking for candidates who are passionate about learning and experimenting with new technologies. Share instances where you've pursued professional development or adapted to new tools and frameworks, especially in AI.

Staff Full Stack AI Engineer
Intuit
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