Manager | AI Engineer | Bengaluru | Control Assurance
Deloitte AdvisoryResponsibilities
- Design, develop, and deploy Generative AI solutions leveraging Large Language Models.
- Build and optimize Retrieval-Augmented Generation pipelines for enterprise use cases.
- Develop and manage embedding-based search and retrieval systems using vector databases.
- Create, test, and refine prompts to improve model performance, accuracy, and response quality.
- Integrate and orchestrate LLMs through APIs and AI frameworks for production-grade applications.
- Collaborate with cross-functional teams to identify AI-driven business solutions and use cases.
- Ensure scalability, reliability, and performance of Generative AI applications.
- Apply data privacy, security, access control, compliance, and LLM cost optimization practices.
Requirements
- Any graduate with a B.Sc., B.Tech., or degree in Artificial Intelligence, Data Science, or a related field.
- 8–12 years of experience.
- Experience with Generative AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
- Familiarity with Azure OpenAI, Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
- Hands-on experience with RAG architectures and frameworks, embeddings, vector stores, and semantic search.
- Proven expertise in prompt engineering for optimizing LLM outputs.
- Experience with LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
- Hands-on experience initializing, integrating, configuring, and deploying LLMs.
- Proficiency with VS Code or IntelliJ and GitHub Copilot or equivalent AI-assisted coding tools.
- Knowledge of token management, caching, model selection, and other LLM cost optimization techniques.
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About Deloitte Advisory
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