Generative AI Software Engineer

TymblHub; Hyderabad; On-site; INR 800,000 - 1,800,000; Full time

Job summary

PwC Hyderabad seeks a GenAI Software Engineer to design and implement backend services for GenAI projects. You will work with cross-functional teams to translate business needs into scalable AI-powered solutions.

The role requires 4+ years of experience, strong Python skills, and hands-on expertise with databases, containers, and CI/CD for robust production deployments.

Qualifications

• Bachelor's & Master's degree required.
• 4+ years of experience in AI/GenAI software development.
• English proficiency (oral & written).

Responsibilities

• Collaborate with cross-functional teams to translate business needs into backend for GenAI/Agentic AI projects.
• Design, develop, and maintain scalable backend solutions and event-driven architectures.
• Manage data storage with SQL and NoSQL databases for AI applications in production.
• Utilize Kubernetes and implement CI/CD pipelines for efficient deployment and scalability.
• Build and integrate APIs using Python frameworks (Flask, FastAPI) for model deployment.

Skills

Python

GenAI

LLM

Kubernetes

Flask

FastAPI

Azure

AWS

CI/CD

PostgreSQL

MySQL

MongoDB

DynamoDB

Java

C++

C#

Education

Bachelor's degree

Master's degree

Tools

PostgreSQL

MySQL

MongoDB

DynamoDB

Azure DevOps

GitHub Actions

Job description

# Generative AI Software EngineerPwCPosted on October 6, 2026---Experience4 - 8 yrsSalary (CTC)₹8L - ₹18LJob LocationHyderabad, IndiaVacancy1DesignationArtificial Intelligence EngineerJob TypeNot specified---## Job DescriptionResponsibilities- Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.- Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs.- Manage data storage solutions using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.- Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability.- Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment.What You Must Have- At least a Bachelor's & Master's degree - At least 4 years of experience - Oral and written proficiency in English requiredWhat Sets You Apart- Proficient with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, and experienced in integrating, scaling, and deploying GenAI and agentic applications in production.- Skilled in setting up data pipelines for both model training and real-time inference to support AI workloads efficiently.- Advanced Python expertise including OOP, asynchronous programming (asyncio), concurrency (multithreading, multiprocessing), design patterns, memory management, and performance optimization for scalable GenAI systems.- Strong foundation in data structures, algorithms, software design principles (SOLID, clean architecture), and hands-on experience with cloud-native development on Azure/AWS, including serverless, microservices, and container orchestration (Kubernetes, Docker).- Experience with additional OOP languages (Java, C++, C#) and familiarity with WebSocket implementations for real-time application functionality.---### KeywordsGen AI