Software Engineering Intern

Ai Integration & Development

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.

Full-Stack Engineering

• Develop efficient, secure, and real-time applications
• Peer-review code
• Document solutions within an agile-blended software environment

Ai Agent & Workflow Orchestration

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.

Collaboration

• Communicate proactively with teammates, AI research, infrastructure, security, and QA teams
• To continuously improve processes and engineering excellence

Concurrency & Scalability

• Write highly concurrent, multi-threaded Java backend services
• Capable of handling real-time AI inference and data streaming

Required Skills

• Education: Bachelor’s degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
• AI & LLM Foundational Knowledge: Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
• Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
• Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
• Backend & Concurrency (Java/Spring): Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
• Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
• Experience writing Unit tests using JUnit and mocking frameworks.
• Frontend (React/Modern JS): Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
• Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).

Soft Skills & Mindset

• Excellent problem-solving skills and a strong mathematical/logical foundation.
• Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
• Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
• Skilled in technical writing, including documenting AI system architectures and data flows.

Additional Skills (Nice To Haves)

• AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
• Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
• Data & Databases: Experience writing SQL and stored procedures. Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
• DevOps & Deployment: Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
• Basic knowledge of Unix/Linux environments.