Responsibilities

- Collaborating with senior engineers to understand project requirements and contribute to ongoing development tasks.

- Writing clean, efficient, and maintainable code across frontend or backend modules, depending on project needs.

- Debugging and troubleshooting issues by analysing logs, identifying root causes, and implementing effective fixes.

- Working on system design components, including understanding architecture diagrams and contributing to scalable solutions.

- Building and consuming RESTful APIs or GraphQL services to integrate various system components.

- Developing user interfaces using modern frontend frameworks like React, Angular, or Vue, and optimising UI performance.

- Managing databases by writing queries, optimising data structures, and working with PostgreSQL, MongoDB, or vector databases.

- Contributing to cloud deployments using AWS, GCP, or Azure, and assisting in CI/CD pipeline maintenance.

- Using containerization and orchestration tools such as Docker & Kubernetes for application builds and deployments.

- Working with automation tools like Selenium or Playwright for testing and quality assurance.

- Implementing AI/ML workflows, including RAG pipelines, embeddings, model inferencing, and vector search when required.

- Participating in code reviews, following coding standards, and continuously improving development practices.

- Documenting technical tasks, workflows, and solutions in an organised and clear manner.

- Staying updated with emerging technologies and proactively applying relevant innovations to ongoing projects.





- Taking ownership of assigned modules, ensuring timely delivery with minimal supervision.

Core Technical Skills The core requirements for the job include the following:

- Strong programming fundamentals (data structures & algorithms).

- Proficiency in at least one programming language.

- Frontend frameworks: React, Angular, Vue.js, Next.js .

- Backend development: Node.js/.NET, RESTful APIs, GraphQL.

- Database skills: PostgreSQL, MongoDB, SQL queries.

- Understanding of Vector Databases (Pinecone, Weaviate, Milvus, Redis Vector, and Supabase Vector).

- Cloud platforms: AWS/GCP/Azure.

- DevOps basics: CI/CD, Docker, Kubernetes.

- Automation & testing tools: Selenium, Playwright.

- Knowledge of Redis, caching, message queues (RabbitMQ, Kafka).

AI/ML And Up-to-date Architecture

- Basic understanding of RAG, embeddings, and model inference.

- Familiarity with tools like LangGraph and Hugging Face.

- Understanding of vector search concepts.

System Design And Architecture

- Fundamentals of building scalable systems.

- Understanding microservices, APIs, caches, load balancing, etc.

- Networking basics: HTTP/HTTPS, DNS, TCP/IP, API communication models.

Core Soft Skills

- Strong communication and clarity of thought.

- Debugging and troubleshooting mindset.

- Creative, out-of-the-box problem-solving.

- Ability to work independently and take ownership.

- Fast thinking and high execution speed.

- Optimisation mindset (performance, scalability).

- Collaboration and teamwork.

This job was posted by Nisha Kunder from DigiPlusIT.

📌 Full Stack Engineer (Mumbai)
🏢 DigiPlus IT
📍 Mumbai