KPMG India Recruitment 2026 | AI Engineer | Experienced Professionals | Premium Salary Package
Job Description
Eligibility Criteria
Top engineering graduates holding a Bachelor’s or Master’s degree in Computer Science, Engineering, or other high-demand tech degrees.
Professionals with 4 to 8 years of solid corporate software engineering experience, seeking the next level in lucrative tech careers.
A minimum of 2 years dedicated exclusively to building, testing, and deploying robust AI/LLM-powered applications.
Candidates aiming for a top-tier software engineer salary must demonstrate deep foundational knowledge in data structures and system design.
Job Responsibilities & Skills Required
Key Responsibilities for Maximum Impact
Develop Scalable Enterprise Software: Design and architect advanced AI-powered applications that actively drive high-revenue products and elevate business efficiency.
Advanced AI/ML Integration: Leverage elite LLMs (such as OpenAI, Anthropic, or open-source alternatives) to build sophisticated solutions, utilizing agentic workflows and RAG methodologies.
High-Performance Architecture: Write exceptionally clean, maintainable Python code to build out scalable APIs and backend services that support demanding AI workloads.
Software Engineering Excellence: Implement rigorous CI/CD pipelines, automated testing, and containerization (Docker/Kubernetes) to ensure flawless enterprise deployments.
Advanced Data Analytics Flow: Optimize complex AI pipelines for low latency, high throughput, and cost-efficiency while managing seamless data integration with vector databases like Pinecone or Chroma.
Cross-Functional Collaboration: Partner closely with elite data scientists, product managers, and developers to transition prototypes into robust, production-ready corporate tools.
Premium Skills Required
Core Programming Mastery: Exceptional command over Python and its high-performance ecosystems, specifically FastAPI, Flask, or Django.
LLM & AI Frameworks: Deep, hands-on expertise using LangChain, LlamaIndex, or AutoGen, coupled with strong vector database proficiency.
Cloud Computing & DevOps: A proven track record of deploying robust applications on premier cloud platforms (AWS, GCP, Azure) and orchestrating MLOps/LLMOps pipelines.
Systems Architecture: A strong operational grasp of microservices, RESTful APIs, and complex system design essential for securing a top tier CTC.
Valuable Add-Ons (Nice-to-Haves): Experience with React/TypeScript for rapid prototyping, open-source AI project contributions, and familiarity with LLM evaluation frameworks (e.g., Ragas, TruLens).
Application Process Overview
Landing this highly coveted role at KPMG India requires a strategic approach to their corporate hiring pipeline. First, meticulously review your resume to ensure that premium skills like Cloud Computing, MLOps, and LLM framework expertise are prominently highlighted. Next, prepare for intensive technical interview rounds focusing heavily on Python architecture, scalable system design, and real-world AI deployment scenarios.
Finally, simply scroll down to the bottom of this page to locate the official application section. Click the designated "Apply Now" button provided at the end of the post to securely submit your credentials directly through the official company portal.