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Hiring: AI Engineer – Generative AI / LLM Engineer
Location: Bangalore
Experience: 6–8 Years
Work Mode: 5 Days Work From Office
We are looking for an experienced AI Engineer with strong expertise in Generative AI, LLMs, RAG pipelines, and model optimization techniques. The ideal candidate should have hands-on experience in building scalable AI solutions and optimizing models for efficient deployment.
Key Skills:
• Generative AI / LLMs
• LLM Fine-Tuning
• Transformer Architectures
• Python
• PyTorch / TensorFlow
• RAG Pipelines
• Embedding Models & Semantic Search
• Vector Databases (FAISS, Pinecone, ChromaDB)
• Prompt Engineering
• Model Quantization & Optimization
• ONNX / TensorRT / llama.cpp / GGUF
• Edge / On-device AI Deployment
Responsibilities:
• Design and deploy AI/ML solutions using LLMs and GenAI technologies
• Build RAG-based AI systems and semantic search pipelines
• Fine-tune foundation models for domain-specific use cases
• Optimize AI models for scalable and edge deployments
• Collaborate with cross-functional product and engineering teams
• Mentor junior engineers and contribute to technical discussions
Job ID: 148448157
Skills:
Tensorflow, Pytorch, Python, Optimization Techniques, ONNX, ChromaDB, Embedding models, Vector databases, INT8, Transformer architectures, model quantization, LLM fine-tuning, GGUF, 4-bit, semantic search, Pinecone, RAG architectures, FAISS, prompt engineering, llama.cpp, TensorRT
Skills:
Sklearn, FastAPI, Python, CrewAI, LangChain, Hugging Face Transformers, Plotly, generative AI solutions, TRL, Dialogflow VAPI, Salesforce AgentForce, Google Agent SDK, OpenAI Agent SDK, Microsoft Copilot
Skills:
.NET, Ml, Tensorflow, Pytorch, Python, Apis, LangChain, LlamaIndex, data vector DBs, embeddings, RAG, AI systems, retrieval systems
We don’t charge any money for job offers
