Full Stack Development - Internship (WFH)

About the internship:We're looking for a hands-on engineer to build private AI products and automation solutions that deliver measurable business outcomes. You'll work across the frontend, backend, and agent layer, taking features from idea to production.

What you'll work on

1. Build full-stack applications and AI workflows for real business use cases.

2. Develop agents that use APIs and tools to execute tasks across business systems.

3. Implement authentication, role-based access control (RBAC), and permissions.

4. Design context management, memory, retrieval, and tool-calling workflows.

5. Integrate locally hosted LLMs to build private AI solutions within customer-controlled infrastructure.

Build evaluations, logging, error handling, and monitoring for reliable execution.

Own features from development through deployment and improvement.

What we're looking for

1. Strong fundamentals in frontend development, backend systems, APIs, and databases.

2. A deep understanding of agentic AI engineering, including orchestration, state, context, memory, and tool calling.

3. Experience with local LLM inference using tools such as vLLM, Ollama, or llama.cpp.

4. An understanding of model serving, inference performance, hardware constraints, and data privacy.

5. The ability to debug problems, explain technical decisions, and work independently.

6. Care for product usability, code quality, and measurable outcomes.

7. Personal projects and working demos are welcome. We value what you can build and explain.

Apply with GitHub profile, and relevant projects or demos. Include a short note about an AI workflow or private LLM solution you built, how it works, and what you personally implemented.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 6th Oct'26 and 10th Nov'26are available for duration of 6 monthshave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 10,000 - 15,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, PostgreSQL, Product Development, TypeScript, DevOps, FastAPI and LLMOpsAbout Company:At HD, we're a diverse team of passionate experts offering comprehensive digital solutions. Our commitment to authenticity, innovation, and user-friendliness ensures success in web development, AI/ML, data analytics, backend, and database management. Through collaboration and transparency, we transform visions into exceptional digital realities, empowering clients to succeed. Explore our talented team, insightful blog, and impressive portfolio, and start your exceptional digital journey with us today.

Responsibilities

We're looking for a hands-on engineer to build private AI products and automation solutions that deliver measurable business outcomes. You'll work across the frontend, backend, and agent layer, taking features from idea to production.

What you'll work on

1. Build full-stack applications and AI workflows for real business use cases.

2. Develop agents that use APIs and tools to execute tasks across business systems.

3. Implement authentication, role-based access control (RBAC), and permissions.

4. Design context management, memory, retrieval, and tool-calling workflows.

5. Integrate locally hosted LLMs to build private AI solutions within customer-controlled infrastructure.

Build evaluations, logging, error handling, and monitoring for reliable execution.

Own features from development through deployment and improvement.

What we're looking for

1. Strong fundamentals in frontend development, backend systems, APIs, and databases.

2. A deep understanding of agentic AI engineering, including orchestration, state, context, memory, and tool calling.

3. Experience with local LLM inference using tools such as vLLM, Ollama, or llama.cpp.

4. An understanding of model serving, inference performance, hardware constraints, and data privacy.

5. The ability to debug problems, explain technical decisions, and work independently.

6. Care for product usability, code quality, and measurable outcomes.

7. Personal projects and working demos are welcome. We value what you can build and explain.

Apply with GitHub profile, and relevant projects or demos. Include a short note about an AI workflow or private LLM solution you built, how it works, and what you personally implemented.