Full Stack Engineer

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.

The core requirements for the job include the following:

Core technical skills:

• 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 modern 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.