AI 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.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

3–5 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.