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Deloitte Touche Tohmatsu India LLP is hiring Software Engineers (GEN AI) for its enterprise technology and AI practice. The role focuses on designing, developing, and deploying Generative AI and Machine Learning solutions using LLMs, RAG architectures, AI agents, vector databases, and modern AI frameworks. Engineers will work with business stakeholders to identify AI-driven transformation opportunities and build scalable production-grade solutions. The role involves developing AI applications using Python, LangChain, LlamaIndex, Semantic Kernel, TensorFlow, PyTorch, and Scikit-learn, along with deploying solutions on AWS, Azure, or Google Cloud. Candidates will also work with MLOps, APIs, microservices, CI/CD, Docker, and Kubernetes while contributing to AI governance, security, monitoring, and responsible AI practices. How to Apply: Apply through the Deloitte Careers portal using Job Requisition ID 109180.
Employer profile
Deloitte is a global professional-services network providing audit and assurance, consulting, financial advisory, risk advisory, tax and legal services. Its member firms serve corporations, governments and other organizations across industries and geographies. Deloitte's work includes business strategy, technology transformation, cybersecurity, financial reporting, risk management, tax, transactions and organizational change. The organization traces its history to 1845 and operates as a network of legally separate member firms rather than a single global operating company. Deloitte maintains offices in numerous countries and has a workforce exceeding 470,000 people worldwide. Because Deloitte is structured as a global network, LinkedIn identifies its headquarters as worldwide rather than a single corporate headquarters city.
The listed salary for Software Engineer (GEN AI) at Deloitte is ₹10-20 LPA.
This position is based in PAN India (On-site).
Candidates are expected to have 0-4 years of experience for this role.
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Key benefits include: ₹10-20 LPA CTC; Opportunity to work on enterprise Generative AI solutions; Hands-on experience with LLMs, RAG, AI agents, and MLOps; Exposure to AWS, Azure, and Google Cloud; Experience with production-grade AI applications; Opportunity to work with cross-functional technology and business teams; Mentorship and technical capability-building opportunities.
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