We are looking for an AI Engineer to design, build, and deploy AI solutions in production environments. Key Skills and Experience Knowledge in any one of: language models, computer vision, recommendation systems, agentic AI, or decision intelligence Strong software engineering background with knowledge of any one of: Python, C++/CUDA, Java/Scala, or PySpark Experience with any one of AI/ML frameworks such as PyTorch, TensorFlow, LangChain and LangGraph Knowledge of cloud platform such as AWS, Azure, or GCP Knowledge of graph concepts and graph technology such as Knowledge Graphs, Neo4j, or cuGraph Understanding of AI/ML lifecycle, data pipelines, and model architectures (LLMs, RAG, MoE, DRL, foundation models) Ability to explain technical ideas clearly to both technical and business stakeholders Preferred Experience in regulated industries (finance, healthcare, insurance) Knowledge of Responsible AI, fairness, and interpretability Work on large-scale, real-time AI and Agentic AI solutions Familiarity with containerization and automation: Docker, Kubernetes, Terraform, GitHub Actions, Helm Familiarity with big data processing and streaming technology such as Spark, Kafka, Redis, or Elastic Search