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AI / GenAI Full Stack Developer

KPMG India

Location

Bengaluru, Karnataka, India

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993\. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

About the Role

We are looking for highly skilled AI/GenAI Full Stack Developers to build next-generation AI products and enterprise AI solutions. The individual should have strong experience developing applications using LLMs, open-weight models, modern cloud platforms, APIs and full-stack engineering frameworks. This is a hands-on role focused on building production-ready GenAI applications.

Key Responsibilities

AI Application Development

  • Develop AI and Generative AI applications leveraging LLMs, RAG and Agentic AI architectures.
  • Build AI copilots, enterprise search, chatbots, document intelligence and workflow automation solutions.
  • Develop and optimize RAG pipelines using enterprise data sources, embeddings and vector databases.

Open-weight Models

  • Deploy and manage open-weight models including Llama, Mistral, DeepSeek, Qwen, Gemma and Phi.
  • Implement model serving using vLLM, Ollama, Hugging Face TGI or similar frameworks.
  • Support fine-tuning, quantization, prompt evaluation and inference optimization where required.

Full Stack Engineering

  • Build backend services, APIs and orchestration layers using Python, FastAPI or Flask.
  • Develop responsive front-end applications using React, Next.js, TypeScript or Angular.
  • Integrate AI services with enterprise applications, data platforms and workflow systems.

Cloud \& DevOps

  • Deploy AI solutions on Azure, AWS or GCP.
  • Manage containers, Kubernetes environments and CI/CD pipelines.
  • Implement application monitoring, model observability and performance tracking.

Collaboration \& Delivery

  • Work with architects, product owners, data scientists, engineers and clients.
  • Participate in sprint planning, design reviews, code reviews and production troubleshooting.

Required Skills

AI Stack

  • Generative AI and LLM application development
  • RAG, embeddings and vector databases
  • Prompt engineering and model evaluation
  • Agentic AI and tool-calling patterns

Frameworks

  • LangChain, LangGraph, LlamaIndex
  • Hugging Face ecosystem
  • FastAPI, Flask and REST APIs

Databases

  • Pinecone, Weaviate, Milvus or Chroma
  • PostgreSQL, MongoDB or equivalent enterprise databases

Frontend \& Backend

  • Python, JavaScript/TypeScript
  • React, Next.js or Angular
  • API integration and secure application development

Cloud \& DevOps

  • Azure, AWS or GCP
  • Docker, Kubernetes, GitHub Actions or Azure DevOps
  • Cloud-native logging, monitoring and deployment automation

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering or a related discipline.
  • 3-8 years of software engineering experience.
  • Minimum 2 years of hands-on GenAI development experience preferred.
  • Experience deploying AI applications into production environments.
  • Strong coding, debugging and problem-solving capabilities.

Why Join Us

Build cutting-edge enterprise AI solutions, work with open-weight models and cloud-native deployments, and help clients translate AI ambition into measurable business outcomes.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. A

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