General information
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
Description
Job Title: AI Engineer
Location: Mountainview Company: hireEZ
Employment Type: Full-Time
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.
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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