Full Stack Engineer (AI) - 20 LPA (Remote)

Location: Remote
Experience: 2–4 Years
Compensation: Up to ₹20 LPA
About the Role
A leading healthtech company is looking for a Full Stack Engineer with strong software development skills and hands-on experience deploying AI-powered applications into production. The ideal candidate should be comfortable building end-to-end applications, integrating AI/ML models and LLMs, and delivering scalable, reliable solutions.
We are looking for an engineer who understands both full-stack development and the practical challenges of taking AI applications from prototype to production.
Key Responsibilities
Design, develop, and maintain end-to-end web applications.
Build scalable backend services, APIs, and integrations using Python and relevant backend frameworks.
Develop responsive, user-friendly frontend applications using modern JavaScript frameworks.
Integrate AI/ML models, LLMs, and Generative AI capabilities into production applications.
Build and deploy AI-powered features, ensuring reliability, performance, and scalability.
Work with databases, APIs, and cloud infrastructure to support application development and deployment.
Collaborate with product, engineering, and AI teams to translate requirements into production-ready solutions.
Implement testing, monitoring, debugging, and performance optimization across the application stack.
Follow best practices for software architecture, security, version control, and CI/CD.
Troubleshoot production issues and continuously improve application reliability.
Required Skills & Qualifications
2–4 years of experience in full-stack software development.
Strong proficiency in Python and backend development.
Experience with modern frontend frameworks such as React.js, Next.js, or similar technologies.
Strong understanding of REST APIs, database design, and application architecture.
Proven hands-on experience deploying AI-powered applications or AI/ML models into production.
Experience integrating LLMs, Generative AI APIs, or machine learning models into real-world applications.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with Git, Docker, CI/CD pipelines, and application deployment.
Understanding of production monitoring, debugging, performance optimization, and scalability.
Ability to work independently in a remote engineering environment.
Good to Have
Experience building applications using LLMs and Retrieval-Augmented Generation (RAG).
Familiarity with vector databases and AI frameworks such as LangChain or LlamaIndex.
Experience deploying AI workloads and managing inference performance in production.
Knowledge of automated testing, observability, and cloud-native architectures.
Experience working in healthcare technology or other regulated industries.
What We’re Looking For
We are looking for a hands-on engineer who can build complete applications and successfully integrate AI into production environments.
Production AI experience is required. Candidates should be able to demonstrate AI-powered features or applications they have built, deployed, and maintained—not just prototypes, academic projects, or experimentation with AI APIs.

Work arrangement
Yes