Staff Full Stack AI Engineer

Intuit Inc.; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Staff Software Engineer, where you'll tackle exciting challenges and leverage AI technologies to create impactful software solutions. Collaborate with a talented team to design robust systems that enhance customer experiences and drive business success. This role offers the opportunity to work on cutting-edge technology initiatives, contribute to best practices, and continuously learn in a dynamic environment. If you're passionate about innovation and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• 8+ years in systems/software development for large environments.
• Experience designing complex distributed systems and management products.

Responsibilities

• Drive technology initiatives and accelerate customer outcomes.
• Design and implement durable software solutions for critical issues.

Skills

Full-stack development

AI technologies

Python

React

Java

Cloud platforms (AWS, GCP)

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

SageMaker

Vert.x

LangChain

DialogFlow

Typescript

Spring

Express

Job description

Come join Intuit as a Staff Software Engineer and help us power prosperity around the world for our customers.

We are looking for engineers who love to take on new challenges, solve tough problems, and have deep empathy for our customers. You’ll work with a passionate team of engineers, product managers, and designers by leveraging AI and relevant technology frameworks.

Responsibilities

1. Drive velocity in the organization by accelerating customer, business, and technology outcomes through identifying and pursuing key opportunities.
2. Lead significant technology initiatives end-to-end, including architecture layers.
3. Understand customer behaviors and collaborate with cross-functional partners to develop end-to-end solutions for customer problems.
4. Design and implement durable software solutions to address critical customer issues in a fast-paced environment.
5. Contribute beyond primary areas of ownership with a boundary-less mindset.
6. Apply knowledge of building AI-native applications and guide their applicability to customer problems, understanding AI's value and limitations.
7. Use evaluation tools to validate and measure solution accuracy.
8. Maintain a high-level understanding of AI models, their types, advantages, and disadvantages.
9. Stay updated on the latest tools and technologies for applying AI to real-world applications.

Technical Design and Collaboration

1. Create robust, scalable, and secure technical designs, balancing short-term and long-term goals to ensure high availability and performance.
2. Continuously learn, experiment, and apply cutting-edge technologies to solve customer problems.
3. Partner with internal and external groups for cross-functional design, development, and integration.
4. Collaborate with teams from Architecture, Product Management, and Operations to develop, test, and release features.

Community Contribution

1. Contribute to standards, patterns, and best practices to improve engineering practices.
2. Provide insights on industry trends, emerging technologies, prototypes, patents, and process improvements.

Minimum Qualifications

• Ability to operate effectively in a matrixed environment with multiple stakeholders.
• 8+ years of experience in developing systems/software for large business environments.
• 5+ years designing complex distributed systems, management products, or business applications.
• Full-stack development experience with AI technologies and their application to user or backend solutions.
• Experience with AI tools such as SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
• Proficiency with front-end technologies (React, Angular, SwiftUI, Kotlin) and back-end technologies (Java, Typescript, Spring, Express).
• Experience with cloud platforms like AWS or GCP is highly desirable.
• At least 1 year of experience building AI-native applications.
• Bachelor’s or Master’s degree in Computer Science or related field.

Team and Leadership Skills

• Strong analytical, problem-solving, and communication skills.
• Effective mentoring abilities and influence across technical and non-technical teams.
• Collaborative team player with a preference for teamwork.
• Ability to thrive in a fast-paced, complex environment.
• Excellent communication skills across all organizational levels.
• Proactive, independent decision-maker.
• Proven track record of driving results in cross-functional and global teams.