Fullstack Engineer

Full Stack Development

• Develop responsive, performant UI components using

  React

  , TypeScript, Redux/Zustand, and modern frontend patterns.
• Build backend services using

  Node.js (Express/Nest.js)

  ,

  Python (FastAPI/Django)

  ,
• Implement RESTful APIs, GraphQL endpoints, and backend business logic.
• Write clean, well-tested, maintainable code following engineering best practices.

AI / LLM Integration

• Integrate

  LLM-based APIs

   (OpenAI, Vertex AI, Azure OpenAI, Anthropic, etc.) into frontend and backend systems.
• Work with AI/ML teams to consume internal inference APIs or vector search pipelines.
• Build workflows such as:
• Chat-based AI assistants
• RAG pipelines
• Document processing & embedding systems
• AI-driven automation inside products
• Implement features like prompt engineering, tooling integration, and safe/efficient LLM invocation.

Architecture & System Design

• Design and develop

  microservices

   that are scalable, modular, and cloud-native.
• Own and enhance system architecture diagrams, API contracts, and data flow designs.
• Apply best practices in distributed systems (caching, queues, load balancing, resiliency).

Cloud & DevOps

• Deploy and maintain apps on

  AWS / GCP / Azure

  .
• Experience with containerization and orchestration:

  Docker, Kubernetes

  .
• Contribute to CI/CD pipelines, monitoring, and observability (GitHub Actions, Jenkins, Prometheus, Grafana, etc.).

Database & Storage

• Work with SQL databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB, DynamoDB, Redis).
• Design optimized schemas and ensure efficient querying and indexing.

Collaboration & Leadership

• Work cross-functionally with designers, PMs, AI engineers, and QA teams.
• Review code, mentor junior engineers, and enforce engineering discipline.
• Participate in sprint planning, architectural reviews, and technical roadmap discussions.

Required Skills & Experience

Frontend

• 34+ years of strong experience with

  React

  .
• Strong understanding of JavaScript/TypeScript, hooks, state management, and modern UI patterns.
• Familiarity with Next.js, Vite, Webpack, or similar tooling.

Backend

• Expertise in at least one:

  Node.js

  ,

  Python

  ,

  Java

  .
• Experience building

  RESTful APIs

  , GraphQL schemas, JWT/OAuth authentication.
• Strong understanding of design patterns, modular architecture, and service-oriented design.

AI Integration

• Experience integrating

  LLMs or ML models

   via APIs.
• Understanding of embeddings, vector stores (Pinecone, FAISS, Weaviate), and RAG concepts (preferred).
• Ability to build robust LLM pipelines and manage prompt engineering challenges.

Microservices & Cloud

• Solid working experience with

  microservices

  , event-driven architectures, message brokers (Kafka, SQS, RabbitMQ).
• Hands-on cloud deployment using

  AWS/GCP/Azure

   services.
• Docker/Kubernetes production experience.

Testing & Quality

• Experience with Jest, React Testing Library, Mocha/Chai, PyTest, or JUnit.
• Strong debugging and performance optimization skills.

Nice-to-Have

• Experience with serverless frameworks (AWS Lambda, Cloud Functions).
• Experience with CI/CD tools and infrastructure-as-code (Terraform).
• Knowledge of MLOps or ML pipeline orchestration tools.
• Exposure to security best practices (OWASP, API security, IAM).