Full stack Gen AI Engineer - Sr Associate

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. In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the AI Engineering team you play a pivotal role in designing, developing, and scaling AI-driven web applications and platforms. As a Senior Associate you navigate complexity while building meaningful client connections and mentoring junior engineers to uphold professional standards. This role is an exciting opportunity for those passionate about blending their technical skills with the emerging world of AI and machine learning in a fast-paced, collaborative environment.

Responsibilities

• Design and develop whole-stack applications using generative AI
• Collaborate with product teams to define application requirements
• Analyze user feedback to enhance application functionality
• Implement leading practices in software development and testing
• Mentor junior developers in coding standards and practices
• Stay current with advancements in AI and software technologies
• Contribute to the overall architecture and design of solutions
• Confirm applications meet performance and security standards
  
  

What You Must Have

• Bachelor's Degree in Computer Science, Software Engineering, or a related field
• 3 years of professional experience as a full stack engineer
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Cloud Certifications (Azure, AWS, GCP) preferred
• Skilled in Python development with FastAPI, Flask, Django
• Experienced in building GenAI applications using RAG frameworks
• Familiar with LLM orchestration tools like LangChain, AutoGen
• Demonstrating a builder's mindset for innovation and automation
• Excelling in communication with technical and non-technical audiences
• Comfortable in agile, iterative development environments
• Proactively identifying tech stack improvements and performance bottlenecks