Artificial Intelligence Engineer
Job Description - AI Engineer
About the job
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.
* 2–4 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.