Generative Ai - Software Engineer
Generative Ai - Software Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering with a focus on GenAI technologies and possess a solid understanding of programming event-driven architectures containerization and data lakes.
Responsibilities:
- Partner with product ML and DevOps teams to translate business goals into GenAI software solutions.
- Design build and maintain Python-based GenAI services APIs and micro-servicesleveraging FastAPI for REST endpoints as well as WebSockets and WebRTC for real-time bi-directional communication.
- Implement event-driven architectures (e.g. Kafka Pub/Sub) for low-latency data ingestion and inference.
- Containerize and orchestrate services with Docker and Kubernetes for reliable scalable deployments.
- Engineer data-lake integrations that handle high-volume structured and unstructured data for RAG and fine-tuning workflows.
- Enforce modular reusable and secure code practices (authN authZ secrets management OWASP).
- Collaborate closely with data scientists on model packaging versioning and inference endpoints.
- Automate testing and CI/CD pipelines (GitHub Actions Azure DevOps or AWS CodePipeline) to ensure rapid reliable releases.
- Author and maintain technical documentation architecture diagrams and runbooks.
- Track emerging GenAI and Python ecosystem advances; champion best practices and continuous improvement.
Requirements:
- Python Expertise: 4 years of building production systems with deep knowledge of OOP type hints asyncio/concurrency and performance tuning.
- Web & API Development: Extensive FastAPI (or Flask) experience creating scalable REST/JSON endpoints around LLM services.
- System Architecture: Demonstrated ability to design decoupled event-driven cloud-native systems that scale horizontally and remain maintainable.
- Cloud & Containers: Hands-on with Docker and Kubernetes deploying workloads to Azure AKS AWS EKS or GKE.
- Version Control & CI/CD: Advanced Git workflows plus automated testing build and release pipelines (GitHub Actions Azure DevOps or AWS CodePipeline).
- Security & Compliance: Familiarity with OAuth 2.0/JWT secrets management and relevant data privacy regulations.
Preferred Skills:
- Gen AI Frameworks: Experience with LLM frameworks or tools for interacting with LLMs such as LangChain LangGraph AutoGen and CrewAI
- Data Pipelines: Experience in setting up data pipelines for model training and real-time inference.
Professional and Educational Background:
- BE / / MCA / / M.E /
If you are passionate about GenAI technologies and have a proven track record in software engineering join PwC US as a Senior Associate GenAI Software Engineer. You will have the opportunity to make a significant impact and contribute to the success of our GenAI projects. We offer a collaborative and innovative work environment where you can grow your skills and advance your career.
PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering with a focus on GenAI technologies and possess a solid understanding of programming event-driven architectures containerization and data lakes.
Responsibilities:
- Partner with product ML and DevOps teams to translate business goals into GenAI software solutions.
- Design build and maintain Python-based GenAI services APIs and micro-servicesleveraging FastAPI for REST endpoints as well as WebSockets and WebRTC for real-time bi-directional communication.
- Implement event-driven architectures (e.g. Kafka Pub/Sub) for low-latency data ingestion and inference.
- Containerize and orchestrate services with Docker and Kubernetes for reliable scalable deployments.
- Engineer data-lake integrations that handle high-volume structured and unstructured data for RAG and fine-tuning workflows.
- Enforce modular reusable and secure code practices (authN authZ secrets management OWASP).
- Collaborate closely with data scientists on model packaging versioning and inference endpoints.
- Automate testing and CI/CD pipelines (GitHub Actions Azure DevOps or AWS CodePipeline) to ensure rapid reliable releases.
- Author and maintain technical documentation architecture diagrams and runbooks.
- Track emerging GenAI and Python ecosystem advances; champion best practices and continuous improvement.
Requirements:
- Python Expertise: 4 years of building production systems with deep knowledge of OOP type hints asyncio/concurrency and performance tuning.
- Web & API Development: Extensive FastAPI (or Flask) experience creating scalable REST/JSON endpoints around LLM services.
- System Architecture: Demonstrated ability to design decoupled event-driven cloud-native systems that scale horizontally and remain maintainable.
- Cloud & Containers: Hands-on with Docker and Kubernetes deploying workloads to Azure AKS AWS EKS or GKE.
- Version Control & CI/CD: Advanced Git workflows plus automated testing build and release pipelines (GitHub Actions Azure DevOps or AWS CodePipeline).
- Security & Compliance: Familiarity with OAuth 2.0/JWT secrets management and relevant data privacy regulations.
Preferred Skills:
- Gen AI Frameworks: Experience with LLM frameworks or tools for interacting with LLMs such as LangChain LangGraph AutoGen and CrewAI
- Data Pipelines: Experience in setting up data pipelines for model training and real-time inference.
Professional and Educational Background:
- BE / / MCA / / M.E /
If you are passionate about GenAI technologies and have a proven track record in software engineering join PwC US as a Senior Associate GenAI Software Engineer. You will have the opportunity to make a significant impact and contribute to the success of our GenAI projects. We offer a collaborative and innovative work environment where you can grow your skills and advance your career.
Travel Requirements
Job Posting End Date
Employment Type
Full-Time
