Highlights
Hands-on experience, collaborative environment, competitive stipend, potential full-time conversion.
Description
Job Summary
pWe are seeking a hands-on AI/ML Full-Stack Engineering Intern to design, develop, and deploy web and AI-based applications on Microsoft Azure. This role involves building full-stack solutions using Python, ReactJS, and TypeScript while integrating Large Language Models (LLMs) and generative AI workflows.
Responsibilities
- Build and deploy full-stack solutions using Python, ReactJS, and TypeScript on Azure Cloud.
- Develop SDKs, APIs, and microservices for Agentic AI workflows including RAG pipelines and Model-as-a-Service components.
- Work with MongoDB/CosmosDB, FastAPI, and Azure AI Services for secure and scalable deployment.
- Experiment with model fine-tuning, LoRA quantization, and optimization for LLMs.
- Collaborate with cross-functional teams to enhance healthcare analytics, automation, and NLP-driven insights.
- Participate in DevOps, security integration, and cloud deployment automation.
Required Skills
- Python
- ReactJS
- MongoDB
- Azure Cloud Services
- Machine Learning
Required Skills Explained
- Strong foundation in Python, JavaScript/TypeScript, and ReactJS.
- Familiarity with AI/ML, NLP, LLMs, and frameworks for fine-tuning or inference optimization.
- Exposure to SQL/NoSQL, API development, and Azure Cloud (preferred).
- Experience with MongoDB/CosmosDB, FastAPI, and Azure AI Services for secure and scalable deployment.
- Knowledge of DevOps practices and cloud deployment automation.
- Understanding of model fine-tuning, LoRA quantization, and optimization techniques.
Who is this for
pThis position is ideal for a student or recent graduate with a strong foundation in software development and an interest in AI/ML. You should be enthusiastic about working on cutting-edge projects that impact healthcare.
Why This Job is a Good Opportunity
ulliDirect involvement with senior engineers and product leads, offering unique learning experiences.liPotential to work on cutting-edge technology like Large Language Models (LLMs) and generative AI workflows in the healthcare sector.liOpportunity to contribute to real-world applications that make a difference in healthcare analytics and automation.liFlexible schedule with remote options, allowing for a healthy work-life balance.liPotential conversion to full-time employment upon internship completion.
Interview Preparation Tips
- Review the key responsibilities and prepare examples of relevant projects or experiences you have had in Python, ReactJS, and Azure Cloud development.
- Research Agentic AI, RAG pipelines, and Model-as-a-Service components to understand how they fit into modern web application development.
- Prepare questions about DevOps practices, security integration, and cloud deployment automation techniques used by the company.
- Discuss your enthusiasm for learning new technologies and your ability to work independently in a fast-paced startup environment.
Career Growth in This Role
pThe role offers excellent opportunities for career growth as it involves working with advanced technologies like AI, ML, and cloud services. As you gain experience, you can take on more complex projects and potentially lead teams or specialize in specific areas such as model fine-tuning or cloud deployment automation.pThis position also provides exposure to a wide range of tools and techniques, making it easier to adapt to different roles within the tech industry. The hands-on nature of the work will help you develop practical skills that are highly valued by employers.
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Skills
Frequently Asked Questions
What experience is preferred?Experience with US healthcare data (claims, EDI files) and familiarity with Agentic AI workflows are beneficial.
Is this a remote position?Yes, the role offers flexible hours and remote work options with mentorship support.
What is the start date?The role can commence immediately upon hiring.
