Artificial Intelligence Engineer

1 week ago

Bengaluru Karnataka India, Karnataka 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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