Senior AI Engineer

Role Overview

We are seeking a Senior AI Engineer to design and implement advanced AI and GenAI solutions that integrate seamlessly into enterprise platforms. This role requires a strong foundation in computer science, applied mathematics, and natural language processing (NLP), coupled with experience in deploying scalable AI systems on cloud-native infrastructures.

What You Will Do

As AI Engineer, you will lead the technical development of AI solutions, mentor junior engineers, and collaborate with architects and product teams to deliver high-performance, reliable, and explainable AI applications.

Why It Might Be a Fit

This role requires quick ramp up on new technologies whenever required, and the ability to work in a highly collaborative, fast-paced environment.

Requirements

• Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain)
• Solid grasp of mathematics for AI: linear algebra, probability, optimization, statistics
• Expertise in NLP & LLMs: embeddings, transformers, semantic search, RAG, prompt engineering
• Experience with data engineering tools (Spark, Airflow, SQL/NoSQL DBs)
• Proficiency in vector databases (FAISS, Pinecone, Weaviate) and knowledge graphs
• Hands-on with cloud-native AI deployments (Azure, AWS, GCP)
• Familiarity with API-driven design, microservices, and event-driven architectures
• Exposure to DevOps/MLOps practices including containerization (Docker/Kubernetes)