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 required

What 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.
- Solid 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.

Role: Data Scientist, Industry Type: IT Services & Consulting, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.C.A. in Any Specialization, B.Tech / B.E. in Any Specialization, B.Sc in Any Specialization PG: MCA in Any Specialization, MBA/PGDM in Any Specialization, M.Tech in Any Specialization, MS/M.Sc(Science) in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills generative aiSoftware EngineeringComputer ScienceRetrieval Augmented GenerationPython Data ScienceLanggraphgen aiLLMMachine Learning

📌 Generative AI Software Engineer (Hyderabad)
🏢 PwC
📍 Hyderabad