Senior Full Stack AI Developer

Location: Bengaluru

Compensation: Competitive and at par with industry standards

Domain: Healthcare AI Product Development

We are seeking an experienced Senior Full Stack AI Developer to lead the development of next-generation AI-powered healthcare solutions. The ideal candidate will have strong expertise in modern full-stack technologies, cloud infrastructure, and AI application development, particularly in building RAG (Retrieval-Augmented Generation) systems and integrating Large Language Models (LLMs) into enterprise applications.

• Design, develop, and deploy scalable RAG-based AI systems for healthcare applications.
• Build and maintain robust web applications using Next.js, React.js, NestJS, and Express.js.
• Develop APIs, microservices, and backend architectures for AI-driven products.
• Integrate LLMs, vector databases, embeddings, and AI orchestration frameworks.
• Design and optimize MongoDB databases and data pipelines.
• Deploy and manage cloud-native applications on AWS.
• Implement security, compliance, and scalability best practices, especially for healthcare environments.
• Collaborate with product, AI/ML, and UI/UX teams to deliver innovative solutions.
• Mentor junior developers and contribute to technical architecture decisions.

• 4+ years of experience in Full Stack Development.
• Strong proficiency in Next.js, React.js, NestJS, Express.js, and Node.js.
• Experience building RAG applications, AI assistants, or LLM-powered systems.
• Hands-on experience with MongoDB and RESTful API development.
• Experience with AWS Cloud Services (EC2, ECS, Lambda, S3, RDS, CloudFront, etc.).
• Knowledge of vector databases, embeddings, prompt engineering, and AI workflows.
• Experience with Git, CI/CD pipelines, Docker, and modern DevOps practices.
• Strong problem-solving and system design skills.

• Experience in Healthcare, MedTech, Health Informatics, or Digital Health products.
• Familiarity with AI frameworks such as LangChain, LlamaIndex, OpenAI APIs, or similar technologies.
• Experience with HIPAA-compliant or healthcare data management systems.
• Exposure to MLOps and AI model deployment.

• Build cutting-edge AI solutions for the healthcare industry.
• Work on impactful products that improve patient outcomes and healthcare delivery.
• Collaborate with a highly skilled and innovative team.
• Competitive compensation and growth opportunities.
• Opportunity to shape the future of Healthcare AI.

Interested candidates may share their resume, portfolio, GitHub profile, and relevant AI project experience for consideration.