Kpmg Delivery Network
Consultant
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Hybrid
Published on:
14 October 2026
What they need
Job highlights
Degree in computer science or related field with AI/data focus; expertise in frontend (Angular, React, Streamlit) and backend (Python, FastAPI) development; solid foundation in LLMs, prompting, RAG architectures, and Azure cloud experience
Design and implement AI-supported applications; develop frontend and backend systems; integrate generative AI technologies; build data pipelines and dashboards; ensure quality via automated tests and CI/CD; collaborate in agile SCRUM teams
Product development & user focus: From the idea to the productive solution, you will design and implement modern, user-centered AI-supported applications that are technically convincing and technically scalable.
Frontend & Backend Interplay: You build high-performing web front ends using Angular, React or Streamlit (for fast prototyping) and develop robust back ends in Python or JavaScript/TypeScript (e.g. FastAPI or FastMCP[BF1] ). Experience with developing MS-Suite add-ins is advantageous.
Use of generative AI: You will integrate modern AI technologies such as Azure AI Search, OpenAI, LangChain or Microsoft Agents into productive business applications.
Data & Transparency: You will take responsibility for the development of data pipelines, finance dashboards, and the evaluation and quality assurance of LLM-based systems.
Cloud & Operations: Cloud-based applications on Azure are developed, operated and continuously developed by you including SQL and NoSQL databases.
Quality & Delivery: You ensure high engineering standards through automated tests, clean CI/CD criteria, structured Git approach and logging.
Collaboration & Agility: In close coordination with AI Engineers, Tech and Accounting teams, you will actively participate in agile SCRUM setups and requirements engineering.
Your profile
- Academic background: A degree in computer science, engineering or a related field is part of your profile; an AI or data focus is an advantage.
- Technological competence: You have solid hands-on experience with at least one frontend technology stack (e.g. modern web frameworks) and one backend stack (e.g. server-side or API development).
- AI comprehension: You already have a solid foundation in LLMs, prompting strategies, RAG architectures, and model evaluation.
- Cloud experience: Experience in the Azure environment as well as an understanding of modern DevOps and CI/CD Workflows round off your technical profile.
- Professional affinity: Interest in accounting processes is clearly present; Basic knowledge of IFRS/HGB is a welcome plus.
- Working methods and communication: Your strengths include independent work, conceptual strength, and confident communication even with complex technical topics[BF2] .
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