About the Role Our client is looking for a skilled Senior Generative AI Engineer with 6–8 years of hands-on experience in building, fine-tuning, and deploying generative models. The ideal candidate will have strong expertise in large language models (LLMs), prompt engineering, and scalable AI systems, along with a solid understanding of up-to-date GenAI frameworks and tools.

Key Responsibilities Design, develop, and deploy generative AI solutions using LLMs and foundation models

Build and optimize applications leveraging text, image, or multimodal generation

Develop and refine prompts, chains, and agents for high-quality outputs

Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases

Fine-tune pre-trained models for domain-specific use cases

Integrate AI models into production using APIs, microservices, or cloud platforms

Collaborate with cross-functional teams to deliver AI-driven products

Monitor model outputs, improve performance, and ensure responsible AI usage

Stay updated with the latest advancements in Generative AI and LLM ecosystems Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

6–8 years of experience in AI/ML with exposure to Generative AI projects

Strong programming skills in Python (mandatory)

Hands-on experience with LLMs such as GPT, LLaMA, Claude, or similar model

Experience with frameworks/tools like LangChain, LlamaIndex, Hugging Face Solid understanding of:

Generative AI concepts

Prompt Engineering techniques

Transformers architecture

Experience working with vector databases (FAISS, Pinecone, Weaviate, etc.)

Familiarity with APIs, embeddings,



and semantic search

Experience in deploying models using REST APIs, Docker, or cloud services Preferred Qualifications

Experience with cloud platforms like AWS, Azure OpenAI, Google Vertex AI

Knowledge of LLMOps / MLOps tools

Experience with multimodal AI (text, image, audio)

Familiarity with fine-tuning techniques (LoRA, PEFT, etc.)

Experience with RAG pipelines and knowledge retrieval systems

Understanding of CI/CD pipelines for AI systems

Exposure to AI safety, bias mitigation, and Responsible AI practices Soft Skills

Strong problem-solving and analytical thinking

Excellent communication and collaboration skills

Ability to work in a fast-paced, innovative environment

Curiosity to experiment with emerging AI technologies About YMinds.AI

YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with expertise in cutting-edge technologies. We help global enterprises and fast-growing startups accelerate their product development by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of innovation, and we enable their success by providing exceptional talent that drives technological advancement.

Keywords #GenerativeAI #LLM #LargeLanguageModels #PromptEngineering #LangChain #LlamaIndex #HuggingFace #Transformers #RAG #RetrievalAugmentedGeneration #VectorDatabase #FAISS #Pinecone #Weaviate #Embeddings #SemanticSearch #FineTuning #LoRA #PEFT #Python #APIs #RESTAPI #Docker #Kubernetes #MLOps #LLMOps #MLflow #Kubeflow #Airflow #AWS #AzureOpenAI #GoogleVertexAI #MultimodalAI #AIAgents #ResponsibleAI #ExplainableAI

📌 Generative AI Engineer (6-8 Years of Experience) | Bangalore | Upto 28LPA (Bengaluru)
🏢 YMinds.AI
📍 Bengaluru