25 Sep
PricewaterhouseCoopers
Bengaluru
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job 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-services—leveraging 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 / B.Tech / MCA / M.Sc / M.E / M.Tech
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-services—leveraging 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 / B.Tech / MCA / M.Sc / M.E / M.Tech
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
Not Specified
Job Posting End Date
📌 Generative Ai - Software Engineer
🏢 PricewaterhouseCoopers
📍 Bengaluru
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