Experienced Associate - AI Native Engineer, Full Stack

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

About the Role
We are seeking an AI-Native Full Stack Engineer to support the development of scalable, cloud-native applications on AWS. The ideal candidate uses AI-assisted development tools as their default workflow and has strong experience with Java/Spring Boot and ReactJS, as well as expertise in deploying and integrating services using AWS including Lambda, S3, API Gateway, and RDS. You will be expected to leverage AI coding assistants daily to accelerate delivery, improve code quality, and contribute to a team culture where AI-native engineering is the standard operating model.
Key Responsibilities

• Design, develop, and maintain microservices using Spring Boot and REST APIs, leveraging AI-assisted coding workflows to accelerate delivery.

• Build responsive and user-friendly UI components using ReactJS and integrate with backend services using AI tools for rapid prototyping and iteration.

• Deploy and manage applications on AWS, leveraging services like Lambda, S3, API Gateway, and RDS.

• Write clean, scalable code using AI coding assistants; leverage AI for test generation, code completion, refactoring, and debugging.

• Participate in code reviews, using AI-assisted review tools to improve quality and identify issues faster.

• Collaborate with API architects, DevOps engineers, QA teams, and product owners.

• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.

• Support troubleshooting, bug fixing, and optimization in development and production environments.

• Contribute to team knowledge-sharing on effective AI-assisted development patterns and prompt engineering techniques.

AI-Native Engineering Expectations

• Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, Kiro) as your default development workflow for code generation, completion, refactoring, and debugging.

• Leverage AI for automated test creation, code review preparation, and documentation drafting.

• Apply prompt engineering skills to consistently improve the quality and relevance of AI tool outputs.

• Contribute to team knowledge on effective AI-assisted development patterns.

Required Qualifications

• 2+ years of full stack development experience in enterprise environments.

• Strong hands-on experience with Java/Spring Boot, ReactJS, and AWS services including Lambda.

• Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or Kiro) for code generation, test creation, debugging, and refactoring.

• Demonstrated ability to use prompt engineering techniques to improve AI tool output quality.

• Proficiency in building and consuming REST APIs.

• Experience with AWS deployment, monitoring, and troubleshooting.

• Familiarity with CI/CD pipelines and Git-based version control.

• Strong understanding of Agile development practices.

• Experience with unit testing and test-driven development.

Preferred Qualifications

• Awareness of agentic AI frameworks (LangChain, Claude Agent SDK, Bedrock Agent SDK) and how they integrate with application development.

• Experience with Adobe Analytics, Target, Tag/Launch.

• AWS certifications (AWS Certified Developer Associate or equivalent).

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.