Artificial Intelligence Engineer

Job Description - AI EngineerAbout the jobWe are seeking a highly skilled AI Engineer with strong expertise in building, fine-tuning, and deploying advanced AI/ML solutions. The ideal candidate will have hands-on experience with LLMs, NLP, and RAG systems, and a proven track record of implementing scalable AI applications on cloud platforms.Key Skills:* Design, develop, and optimize AI/ML models with a primary focus on NLP and LLM applications.* Fine-tune large language models (LLMs) and design effective prompt engineering strategies.* Build and deploy Retrieval-Augmented Generation (RAG) systems using vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).* Leverage frameworks such as Hugging Face Transformers, LangChain, and LlamaIndex for advanced AI solutions.* Collaborate with cross-functional teams to integrate AI models into business applications.* Deploy and manage AI workloads efficiently on AWS, Azure, or GCP.* Utilize Docker and Kubernetes for containerized deployment of AI services.* Explore and implement AI models for multilingual NLP, with an emphasis on Indic languages.

• (Preferred) Apply AI techniques in healthcare and medical domains for domain-specific solutions.Required Skills and Qualifications:* Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.* 2–4 years of proven experience in AI/ML development, specifically in NLP and LLMs.Expertise in:* Transformers (Hugging Face, LangChain, LlamaIndex)* LLM fine-tuning & prompt engineering* RAG architectures & vector databases (Pinecone, Weaviate, FAISS, Milvus)* Proficiency in Python, with experience in PyTorch and/or TensorFlow.* Strong background in cloud-based AI deployment (AWS, Azure, GCP).* Experience in containerization & orchestration tools (Docker, Kubernetes).* Familiarity with multi-language NLP, with exposure to Indic languages preferred.* Knowledge of medical AI models will be considered an added advantage.