Artificial Intelligence Engineer

We 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.
• 2–5 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.