AI Solutions Engineer

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Requirements:

• Demonstrable experience in developing and delivery of software products.
• Proficient in .NET, JavaScript/TypeScript frameworks, or Java.
• Demonstrable experience using AI-driven tools.
• Skilled in designing schemas, writing complex queries, and tuning performance in at least one major relational database.
• Understanding of modern cloud platforms (AWS, Azure, GCP).
• Ability to manage CI/CD workflows, containerization (Docker, Kubernetes), and security best practices.
• Comfortable discussing technical and business requirements with non-technical stakeholders.
• Problem-solving mindset.

Responsibilities:

• Engage with product managers, customers, and cross-functional teams to understand business needs.
• Translate stakeholder requirements into actionable technical tasks and product milestones.
• Use AI-based productivity tools to accelerate solution delivery.
• Stay updated on the latest AI techniques and tools, integrating them into workflows to optimize speed, quality, and innovation.
• Develop and maintain front-end interfaces and back-end services.
• Optimize data storage and retrieval.
• Implement DevOps best practices.
• Deploy software in a cost-effective and secure manner, leveraging the most suitable Cloud services.
• Serve as a subject matter expert on AI-driven development.
• Contribute to a culture of innovation.