Software Development Engineer (SDE) Intern – MCP Server & LLM AI
Duration: 6 MonthsStipend: CompetitivePPO: Yes
We are looking for a highly motivated SDE Intern with a strong interest in AI systems, LLMs, and backend engineering to work on cutting-edge MCP (Model Context Protocol) server development. You will help build scalable, secure, and intelligent systems that connect LLMs with real-world tools, APIs, and data sources, enabling agentic and production-grade AI workflows.
Key Responsibilities
- Design, develop, and maintain MCP servers for structured LLM communication.
- Build and optimize backend services and REST APIs for AI workflows.
- Integrate LLM models with databases, APIs, and third-party services.
- Implement tool calling, context management, and prompt orchestration.
- Ensure performance, scalability, security, and reliability of AI systems.
- Collaborate with product, AI, and frontend teams to ship real-world AI features.
- Debug, test, and continuously improve AI pipelines and server-side logic.
- Stay updated with advancements in LLMs, AI agents, and agentic architectures.
Required Skills
Data Structures & AlgorithmsBackend (Python / Node.js / Java)REST APIs & HTTPLLMs (Prompting, Embeddings)Databases (SQL / NoSQL)Git & GitHubProblem Solving
Good to Have
MCP (Model Context Protocol)OpenAI / Anthropic APIsAI Agents & Tool CallingDocker & Cloud (AWS/GCP)Vector Databases (FAISS / Pinecone)
Who Should Apply
- Final-year Bachelor’s students in Computer Science, Engineering, or related fields.
- Students passionate about backend development, AI, and LLM systems.
- Candidates with academic projects, hackathons, or personal projects in AI or backend.
- Self-driven learners eager to work on real-world, production-grade systems.