Software Development - Internship

About the internship:As a Software Development (AI Systems) intern at Namekart, you will have the opportunity to work with cutting-edge technologies. We are building Agentic AI products AI systems that can reason, plan, and act across tools and workflows. As an intern, you will work on real-world AI applications in production, not just demos or prototypes. You'll build and ship systems end-to-end, spanning frontend, backend, AI orchestration, and deployment.

Day-to-day responsibilities:

Build agentic AI systems: multi-agent workflows, tool-calling pipelines, and autonomous/human-in-the-loop systems

Work with LLM APIs (OpenAI, Anthropic Claude) and frameworks like LangChain and LangGraph

Implement prompt engineering, function calling, RAG pipelines, and memory/context systems

Develop full stack applications: frontend dashboards and chat interfaces (React/Next.js) and backend APIs with async processing (Node.js/NestJS/FastAPI/Spring Boot)

Set up and manage CI/CD pipelines and deployments using Docker, Coolify, and cloud platforms (AWS/GCP/Vercel)

Integrate AI systems with real-world tools: APIs, WhatsApp, Slack, and CRM platforms

Use AI-native development tools (Claude Code, OpenAI Codex, Cursor, Antigravity) to accelerate development and debuggingWho can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 14th Sep'26 and 19th Oct'26are available for duration of 6 monthshave relevant skills and interestsare Computer Science Engineering students* Freshers looking for jobs may also applyStipend:INR₹ 20,000 - 25,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, 5 days a week, Job offerSkills required:Java, JavaScript, Python, Node.js, Docker, React, REST API, Database Management System (DBMS), TypeScript, DevOps, FastAPI, Next.js, Spring Boot, LangChain, LLMOps and LLM evaluationOther Requirements:Additional Skills:• Vector Databases (Pinecone, Weaviate), WebSockets/Streaming• Prior demonstrable work on AI agents, Chatbots, or Automation Tools.Perks• Certificate and letter of recommendation• Job offer on successful conversion• Work on production AI systems (agents, copilots, automation)• Direct exposure to modern AI-native development workflowsAbout Company:Founded in 2012, Namekart has been helping dreamers, doers, and disruptors grab the perfect domain names and protect what matters most their brand. Whether you're launching something new or leveling up, we're here to make it happen.

We're committed to making the extraordinary happen. With Namekart, you're not just buying a domain you're partnering with a team committed to elevating your brand's authority and visibility.

We have been powered by people from IIM Calcutta, IIM Bangalore, BITS-Pilani, IIT Kharagpur, IIT Bombay, IIT Madras, St Stephen's Delhi, SRCC Delhi, St. Xavier's Kolkata, and various other Tier-1 institutions across the country.Additional information:Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 800000 to 1000000/year

Responsibilities

As a Software Development (AI Systems) intern at Namekart, you will have the opportunity to work with cutting-edge technologies. We are building Agentic AI products AI systems that can reason, plan, and act across tools and workflows. As an intern, you will work on real-world AI applications in production, not just demos or prototypes. You'll build and ship systems end-to-end, spanning frontend, backend, AI orchestration, and deployment.

Day-to-day responsibilities:

Build agentic AI systems: multi-agent workflows, tool-calling pipelines, and autonomous/human-in-the-loop systems

Work with LLM APIs (OpenAI, Anthropic Claude) and frameworks like LangChain and LangGraph

Implement prompt engineering, function calling, RAG pipelines, and memory/context systems

Develop full stack applications: frontend dashboards and chat interfaces (React/Next.js) and backend APIs with async processing (Node.js/NestJS/FastAPI/Spring Boot)

Set up and manage CI/CD pipelines and deployments using Docker, Coolify, and cloud platforms (AWS/GCP/Vercel)

Integrate AI systems with real-world tools: APIs, WhatsApp, Slack, and CRM platforms

Use AI-native development tools (Claude Code, OpenAI Codex, Cursor, Antigravity) to accelerate development and debugging