Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Microsoft
Management Level Senior Associate
& Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .
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 environment 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.
& Summary: -
Gen AI Developer-Senior associate-Kolkata/Bangalore
We are looking for experienced software developers with:
*strong analytical and problem-solving abilities
*ability to coordinate with multiple teams and ensure smooth coordination
*experience with migrating legacy enterprise apps into microservice architecture along with data migration
*ability to prioritize tasks and manage time effectively to meet deadlines
*good verbal and written communication skills
*ability to work collaboratively in a team settin
Responsibilities Develop and maintain backend systems using Python (Django, Flask, FastAPI). Build, secure, and scale APIs (REST, GraphQL, gRPC). Implement LLM agent workflows, prompt engineering, and orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, Autogen. Design and deploy RAG pipelines integrating vector databases (Pinecone, Qdrant, Chroma, Weaviate, etc.). Develop AI-powered search frameworks leveraging Azure AI Search, Elastic + AI, or similar. Write clean, modular, and production-grade code following MVC principles. Collaborate with other engineers and product teams to deliver enterprise-grade AI apps
Skill sets Backend Development: Python, Django, Flask, FastAPI, MVC architecture. APIs: API design, integration, and management. Gen AI & LLMs: Prompt engineering, LLM agent development, Gen AI app development. Frameworks: LangChain, LangGraph, Semantic Kernel, Autogen (or equivalents). Vector DBs & RAG: Experience with vector databases and retrieval-augmented generation pipelines. LLMs: Exposure to both open-source and cloud-hosted models (Azure OpenAI, Anthropic, Meta LLaMA, etc.). Good-to-Have Skills Exposure to MEAN/MERN stack (MongoDB, Express, Angular/React, Node.js). Familiarity with DevOps, CI/CD, Kubernetes, Docker. Awareness of observability, monitoring, and security practices.
Certifications/Credentials Preferred Certifications: o Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate or Azure Solutions Architect Expert
Mandatory skill sets:Gen AI Developer
Preferred skill sets: Gen AI Developer
Years of experience required: 3-8yrs
Education qualification: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Generative AI
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date

Skills Required