AI Engineer || Bangalore || Immediate Joiner

Your work profile

• Design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) 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 GenAI applications.

Key skills required

• Any Graduate- B.Sc/ B.Tech  or in Artificial Intelligence, Data Science, or a related field.
• 8-12 years of experience
• Experience with GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
• Familiarity with cloud AI platforms such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
• Hands-on experience with Retrieval-Augmented Generation (RAG) architectures and frameworks.
• Strong understanding of Embeddings, Vector Stores, and Semantic Search concepts.
• Proven expertise in Prompt Engineering for optimizing LLM outputs.
• Experience working with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Mistral, etc.
• Hands-on experience in LLM initialization, integration, configuration, and deployment.
• Proficiency in using development environments such as VS Code/IntelliJ with GitHub Copilot or equivalent AI-assisted coding tools installed and actively utilized.
• Knowledge of Data Privacy, Security, Access Control, and Compliance within AI solutions.
• Understanding of LLM Cost Optimization techniques, including token management, caching, and model selection strategies.