Senior Associate GenAI S/W Engineer

Job Description & Summary: A career within PWC  

Responsibilities:  

Job Overview 

We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. 

Key Responsibilities 

• Develop and maintain web applications using Angular/React.js, .NET, and Python. 

• Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. 

• Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0. 

• Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK 

• Leverage Agentic frameworks like Crew AI, Autogen etc.  

• Well versed with RAG and Agentic Architecture. 

• Strong in Design patterns – Architectural, Data, Object oriented  

• Leverage azure serverless components to build highly scalable and efficient solutions. 

• Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. 

• Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. 

Primary Skills 

• Proficiency in React.js, .NET, and Python. 

• Strong knowledge of Azure Cloud Services, including serverless architectures and data security. 

• Experience with Python Data Analytics libraries: 

• pandas 

• NumPy 

• scikit-learn 

• Matplotlib 

• Seaborn 

• Experience with Python Generative AI Frameworks:  

• Langchain 

• LlamaIndex 

• Crew AI 

• AutoGen 

• Familiarity with REST API design, Swagger documentation, and authentication best practices. 

Secondary Skills 

• Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. 

• Knowledge of Power BI for data visualization (preferred). 

Preferred Knowledge Areas – Nice to have 

• In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms. 

Mandatory skill sets:  

AI, ML 

Preferred skill sets:  

AI, ML 

Years of experience required:  

3-7 years  

Education qualification:  

BE/BTECH, ME/MTECH, MBA, MCA