Staff Artificial Intelligence (AI) Engineer

Location: 100% Remote Role Job Type: Full-Time Target Salary Range*: $180,000 - $230,000. *This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview The Amatriot Group is seeking an AI Engineer to support a leading healthcare client. This role sits at the intersection of artificial intelligence, machine learning, and cloud engineering, with a strong emphasis on building and deploying GenAI and ML solutions within Google Cloud Platform (GCP) environments. The ideal candidate brings a blend of software development, MLOps, and data engineering experience, enabling them to design, develop, and operationalize scalable AI-driven applications. This is a highly collaborative position supporting critical healthcare initiatives, where candidates will work across engineering, data, and business teams to deliver production-ready AI solutions that drive innovation, efficiency, and data-driven decision-making. Required Skills Strong knowledge of programming languages like Python or Java or R Experience with AI frameworks such as TensorFlow or PyTorch. Experience in create and refine algorithms, neural networks, and other machine learning techniques. Experience in machine learning, deep learning, natural language processing (NLP), and computer vision. Experience in collect, analyze, and manage large datasets to train AI models. Experience in developing and deploying machine learning models. Need Machine/Deep Learning Experience in building models for time series modelling and predictive analytics using TensorFlow, PyTorch. Advanced Prompt Engineering Skills Experience in Agentic AI Frameworks and Workflow using any like Lang graph or CrewAI or Open AI Swarm Skilled with RAG Frameworks with model ReRankers and Tool Calling Expert in Python Programming. Desired – Prior Healthcare industry experience Tech Stack GCP Fundamentals Compute Services: Cloud Run, GKE (Google Kubernetes Engine), Vertex AI Workbench, AI Notebooks. Storage & Databases: BigQuery, Cloud Storage Networking & Security: VPC, IAM (Identity and Access Management), Data Loss Prevention (DLP). Serverless & Event-Driven Architectures: Cloud Functions, Pub/Sub, Cloud Tasks. Machine Learning & Gen AI on GCP Vertex AI: Managed AI/ML platform for training, deploying, and fine-tuning models. Gemini API & Model Garden: Pre-trained Gen AI models (text, vision, multimodal). TensorFlow & JAX: Model development and optimization. TPUs & GPUs on GCP: Understanding specialized hardware for AI acceleration. ML Pipelines: Using Kubeflow and TFX (TensorFlow Extended). Software Development & MLOps Python & AI Frameworks: TensorFlow, PyTorch, Hugging Face. API Development: REST & gRPC API design for AI integration. Docker & Kubernetes: Containerizing and deploying AI solutions. CI/CD & MLOps: Cloud Build, Vertex AI Pipelines, GitOps. Data Engineering & Processing Data Pipelines: Using Apache Beam & Dataflow. Big Data Processing: BigQuery ML, Dataproc (Spark, Hadoop). Feature Engineering: AI Platform Feature Store