Job Description

About the Role:

We're looking for a Fullstack Engineering Intern to join the team building SmartSense, our multi service Industrial IoT platform. You'll work alongside engineers across Frontend, Backend, Data Science, and DevOps, getting hands-on exposure to a production-grade system handling real-time telemetry, alerting, and AI-native features. This is a strong fit for someone who wants to learn fast, build real things, and work close to the metal on a live product rather than a toy project.

What You'll Work On:

• Building and shipping features across the frontend and backend of SmartSense
• Working with our microservices stack (APIs, data pipelines, alerting engine)
• Contributing to RAG-based and LLM-powered features as we build out AI-native capabilities
• Working with structured (Postgres) and vector data stores
• Collaborating with QA, DevOps, and product to take features from idea to production
• Participating in code reviews, sprint planning, and daily engineering discussions

Must-Haves:

• Strong fundamentals in data structures, algorithms, and OOP concepts
• A builder's mindset: comfortable figuring things out, shipping, and iterating rather than waiting for perfect specs
• Proficiency in at least one of: Java, Python, JavaScript/TypeScript,orGo
• Familiarity with at least one backend framework (Spring Boot,FastAPI,Express, Gin, or similar)
• Exposure to relational databases, ideally PostgreSQL
• Familiarity with React or Angular for frontend work
• Basic understanding of Git and collaborative development workflows
• Good communication skills and ability to work in a fast-paced team environment

Good to Have:

• Exposure to RAG (Retrieval-Augmented Generation) pipelines or LLM-based application development
• Familiarity with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector)
• Hands-on experience with any cloud platform (AWS, GCP, or Azure)
• Understanding of REST API design and microservices architecture
• Exposure to message queues/streaming systems (Kafka, RabbitMQ)
• Familiarity with containerization (Docker) and basic CI/CD concepts
• Prior personal projects, open-source contributions, or hackathon experience

What We Offer:

• Real ownership on a production Industrial IoT platform used by 100+ customers
• Direct mentorship from senior engineers and architects
• Exposure to modern AI-native product development (RAG, LLMs, vector search)
• A fast-paced environment where you'll ship code that matters, not busywork
• Potential for full-time conversion based on performance