Ref Id: HREZ-6207
Published Date: Dec 2, 2025
Department: GnA
Job location: Mountainview
Work arrangement: Onsite
Job ID: 3052090
Employment type: Full-time
Number of openings: 2
Job Title: AI Engineer
Location: Mountainview Company: hireEZ
Employment Type: Full-Time
About the Role
We’re looking for an AI Engineer to design, develop, and deploy AI-driven solutions that enhance product capabilities and solve complex business challenges. This role combines hands-on model development with strong engineering practices to bring scalable, production-ready AI features to life.
Key Responsibilities
Build, train, and optimize machine learning and deep learning models for production use.
Develop and maintain scalable data pipelines and model inference services.
Collaborate with cross-functional teams (engineering, product, data science) to identify opportunities for AI integration.
Implement, evaluate, and iterate on algorithms for NLP, computer vision, or decision intelligence, depending on project needs.
Deploy models to production environments and monitor performance, reliability, and drift.
Conduct research and stay current with the latest advancements in AI/ML.
Improve model accuracy, efficiency, and scalability through experimentation and tuning.
Document system architectures, processes, and methodologies.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Familiarity with LLMs, embedding models, vector databases, and prompt engineering.
Hands-on experience deploying models in cloud environments (AWS, GCP, or Azure).
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with MLOps tools (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) is a plus.
Ability to translate business needs into technical solutions.
Preferred Skills
Experience building agents or LLM-based applications.
Knowledge of API design and microservices.
Experience working with large datasets and data processing frameworks (Spark, Beam, etc.).
Familiarity with model evaluation techniques, monitoring, and observability.
What We Offer
Opportunity to work on cutting-edge AI initiatives
Collaborative team environment
Professional growth and learning support
Competitive compensation and benefits
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