Generative AI Solutions Engineer

3 weeks ago

Bengaluru, India Bhavitha Tech, CMMi Level 3 Company Full time

Role Overview:We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.G., LoRA), and model quantization techniques for deployment efficiency. Key Responsibilities: ● Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.● Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.● Fine-tune pre-trained language models using LoRA or similar methods.● Apply quantization and optimization strategies to deploy models efficiently on constrained environments.● Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.● Monitor, evaluate, and continuously improve model performance and reliability. Required Skills:● 3–5 years of experience in AI/ML development or applied NLP.● Proficient in Python and frameworks such as PyTorch or TensorFlow.● Strong understanding of LLM architectures (e.G., GPT, Llama, Falcon, Mistral).● Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups).● Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar).● Familiarity with vector databases like FAISS, Pinecone, or ChromaDB.● Good understanding of prompt engineering and evaluation techniques.● Cloud deployment experience (AWS, Azure, or GCP) is an advantage. Preferred Skills:● Exposure to open‑source models and fine-tuning pipelines.● Experience integrating AI models into web or enterprise products.● Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).

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