Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

OperationsManagement Level

Senior Associate & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.*Why PWC about us

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At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an setting where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

GenAI Integration Engineer

Work Experience:

- Design, develop, test and maintain robust and scalable backend applications using Flask/ Django delivering high performance APIs.

- Experienced Python Developer with experience in integrating ML workflows.

- Familiarity with advanced Python frameworks, libraries, and development tools.

- Design, develop, and deploy Generative AI applications using LLMs (GPT-4, Claude, Gemini, open-source models) for enterprise use cases





- Build and orchestrate multi-agent systems using frameworks like LangGraph, LangChain, CrewAI, or AutoGen with function calling and tool use

- Implement Retrieval-Augmented Generation (RAG), Graph RAG, and hybrid retrieval pipelines using vector databases (Pinecone, Weaviate, Chroma, pgvector)

- Integrate third-party APIs and services

- Optimize applications for maximum speed and scalability

Experience & Specialized Knowledge Required

- Strong proficiency in Python 3.x & ML Frameworks PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT)

- Integrate with various databases (e.g., Cosmos DB,) and message queues (e.g., Kafka, eventhub) for seamless backend operations.

- Experience in one or more Python frameworks (Django, Flask, FastAPI)

- Develop and maintain unit and integration tests using frameworks like pytest and unit test to ensure code quality and reliability.

- Experience with Docker, Kubernetes, and cloud environments (AWS, GCP, or Azure) for deploying and managing Python services.

- Familiarity with asynchronous programming (e.g., asyncio, aiohttp) and event-driven architectures.

- Strong skill in PySpark for large-scale data processing will get priority.

- Solid understanding of Object-Oriented Programming and design principles

- Proficient in using version control systems like Git

- Must have

- Python, Python frameworks (Django, Flask, or FastAPI), RESTful APIs, relational and NoSQL databases, Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)

- Nice to have

- RESTful API design and implementation,



testing tools: pytest or similar, understanding of microservices architecture and distributed systems, Exposure to machine learning frameworks like Scikit-learn, PyTorch, TensorFlow.

Qualifications

- BTEC/MTEC/MCA degree in computer science/electrical/ETCE

- Hands-on experience building and deploying GenAI / LLM applications in production

- Azure or AWS Certifications is a plus.

Mandatory skill sets

Python 3.x & ML Frameworks PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT)

Preferred skill sets

RESTful API design and implementation, testing tools: pytest or similar, understanding of microservices architecture and distributed systems, Exposure to machine learning frameworks like Scikit-learn, PyTorch, TensorFlow.

Years of experience required

5+

Education Qualification

BTECH/MTECH/MCA degree in computer science/electrical

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)

Required Skills

Generative AIOptional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

July 23, 2026

📌 IN_Senior Associate_GenAI Integration Engineer_GCC_Advisroy_Hyderabad (India)
🏢 PricewaterhouseCoopers
📍 India