Artificial Intelligence Engineer

Company Description Edhac.ai, part of Enterprises Digital Health AI Cloud, is dedicated to simplifying healthcare for chronic care providers and hospitals worldwide through an AI-native digital health cloud platform. The platform unifies clinical data, streamlines workflows, and supports clinicians in delivering proactive, value-based care. By automating routine tasks and providing real-time insights, Edhac.ai enables care teams to focus on patient outcomes and engagement. With capabilities such as unified patient views, smart care pathways, interoperability, RPM, and enterprise-grade security, Edhac.ai serves markets in the US and India, focusing on chronic care providers, primary care clinics, hospitals, and digital health startups.

We are looking for enthusiastic and passionate AI Developers – Freshers who are interested in building intelligent, scalable, and user-focused software products using modern AI technologies.

In this role, you will work on real-world product development where AI is used not only as a feature, but also as a core part of the development, design, automation, and problem-solving process.

This is an excellent opportunity for candidates who want to build their career in AI-native software development, application design, and intelligent product engineering.

Key Responsibilities

• Design and develop AI-enabled web and software applications.
• Use AI tools and coding assistants to accelerate software development, testing, debugging, and documentation.
• Participate in application design, workflow design, database design, API design, and overall solution architecture.
• Build and integrate AI-powered features using APIs, LLMs, machine learning models, and automation workflows.
• Convert business requirements and user problems into structured technical solutions.
• Design clean, intuitive, and scalable user experiences in collaboration with product and design teams.
• Develop backend services, APIs, databases, and frontend components required for AI-powered applications.
• Create prompts, workflows, agents, and AI-assisted automation for different business use cases.
• Evaluate AI-generated code and ensure quality, security, performance, and maintainability.
• Debug and improve applications using AI-assisted development techniques.
• Write clean, reusable, well-structured, and documented code.
• Participate in code reviews, testing, deployment, and continuous product improvement.
• Explore new AI models, frameworks, development tools, and emerging technologies.