AI Development Engineer

Position: AI Development Engineer – Standalone AI App for Healthcare (ECommerce experience is must)

We are seeking an experienced AI Development Engineer to design, develop, and deploy innovative applications leveraging Large Language Models (LLMs) such as GPT and Claude. The ideal candidate will combine strong software engineering principles with deep knowledge of AI/ML technologies to create a standalone AI application that integrates seamlessly with an online doctor consultation platform. This standalone app should incorporate all advanced AI capabilities, provide exceptional user experiences, and redirect users seamlessly from the main application.

This role requires expertise in AI/ML, app development, and the ability to create scalable, production-ready AI applications tailored for the healthcare domain.

Key Responsibilities Standalone AI App Development

• Design and develop a standalone AI-powered application for online doctor consultations, encompassing features such as symptom checkers, NLP-based chatbots, personalized recommendations, and predictive analytics.

• Ensure seamless redirection and integration of the standalone app with the main platform.

• Collaborate with UX designers to create intuitive, user-friendly interfaces tailored for healthcare users. LLM Integration & Development

• Develop AI-powered applications using state-of-the-art LLMs via APIs (OpenAI, Anthropic, etc.).

• Implement robust prompting strategies and optimize LLM interactions for specific healthcare use cases.

• Create middleware to handle API rate limiting, caching, and cost optimization.

• Develop conversation handling and context management for interactive, chatbased user experiences.

Application Development

• Build and maintain scalable web and mobile applications using Python frameworks such as FastAPI/Django.

• Design and implement RESTful APIs for AI service integration.

• Develop efficient data processing pipelines for managing LLM inputs and outputs.

• Implement error handling, fallback mechanisms, and ensure security best practices in handling sensitive healthcare data.

Architecture & Infrastructure

• Design secure system architectures to integrate AI capabilities into standalone applications.

• Optimize application performance, manage LLM API costs, and ensure scalability.

• Set up monitoring and logging systems to track API usage and app performance.

Collaboration & Documentation

• Work closely with product managers to define technical requirements for AI features.

• Collaborate with UX/UI teams to ensure seamless user experiences.

• Document APIs, prompting strategies, system architectures, and best practices.

• Mentor junior developers in AI/ML and app development.

Requirements Technical Skills

• 5+ years of experience in software development using Python.

• Strong proficiency in FastAPI or Django frameworks.

• Proven experience in app development (web or mobile), preferably standalone applications.

• Expertise in working with LLM APIs (OpenAI, Anthropic, etc.).

• Solid understanding of RESTful API design and integration.

• Familiarity with cloud platforms (AWS/GCP/Azure) and container technologies (Docker, Kubernetes).

AI/ML Knowledge

• Deep understanding of LLM capabilities, limitations, and optimization techniques.

• Experience with prompt engineering, embedding technologies, and vector databases.

• Knowledge of AI safety and ethical considerations, particularly in healthcare.

Other Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• Proven track record of delivering production-ready AI applications.

• Excellent problem-solving, analytical, and communication skills.

• Familiarity with agile development methodologies.

• Experience with healthcare platforms or health tech compliance standards (HIPAA, GDPR) is a strong plus.