Full Stack Developer, AWS (Agentic AI Applications)

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Analytics

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.


Meaningful work you’ll be part of
As a Full Stack Developer, AWS (Agentic AI Applications), you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. We are seeking a Full Stack Developer with strong AWS expertise to design, build, and deploy agentic AI applications. You will work on scalable, cloud-native solutions integrating modern agent frameworks and AI SDKs. Responsibilities include but are not limited to:

• Develop agentic AI applications using LangGraph, MCPS, OpenAI SDK, and Google AI SDK.
  
• Build backend services leveraging AWS Fargate, S3, Redis, and PostgreSQL.
  
• Implement CI/CD pipelines using GitHub Actions and DevOps best practices.
  
• Containerize applications with Docker and deploy via AWS ECS/Fargate.
  
• Design and maintain Next.js frontends integrated with agentic workflows.
  
• Collaborate with AI engineers to integrate models and optimize performance.
  
  
  
  

• Proficiency in Python, Node.js, and Next.js.
  
• Hands-on experience with AWS services: Fargate, S3, ECS, Lambda, RDS/PostgreSQL.
  
• Familiarity with agent frameworks (LangGraph, MCPS) and Redis.
  
• Strong knowledge of CI/CD, GitHub Actions, and containerization.
  
• Understanding of OpenAI SDK, Google AI SDK, and API integrations.
  
• Preferred Certifications: AWS Certified Developer or Solutions Architect.
  
• PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.
  
  

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date


We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).