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Full Stack Engineer (Python & Angular) 3+ years only

Straive

3.3
6 reviews
Straive
Job Type   /   Job Level
Full-time   /   Junior Executive
Job Location
Bengaluru, Karnataka, India
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(Python & Angular) Full Stack Developer (3+Years)

Role Overview: As a core member of the engineering team, you will build the "connective tissue" of the application. Your focus will be on developing robust RESTful services in Python and integrating them with a modern Angular frontend.

Detailed Responsibilities:

  • Backend Development: Design and implement scalable backend logic using Python (Django/FastAPI).
  • API Design: Create and document RESTful APIs that serve as the interface between the Database and the Frontend.
  • Frontend Integration: Build responsive, modular UI components in Angular and ensure seamless data flow via RxJS and HTTP services.
  • State Management: Implement clean state management to handle complex user workflows across the application.
  • Collaboration: Work closely with the Database Architect to ensure API endpoints are optimized for the underlying data structure.
  • Full Stack Integration: Ensure the Angular frontend communicates efficiently with Python backend services and AI inference endpoints.
  • Generative AI Implementation: (Mandatory) Develop and integrate applications using various Large Language Models (LLMs) such as GPT-4, Claude, or Llama. Implement techniques like RAG (Retrieval-Augmented Generation) to connect LLMs to your private database

Mandatory Skills:

  • Backend: Python 3.x, Django/Flask/FastAPI.
  • Frontend: Angular 12+, TypeScript, HTML5, CSS3 (SASS).
  • Database: Proficient in writing SQL and using ORMs.
  • Tools: Git, Postman, and basic Linux command-line.

Good to Have:

  • Experience with Docker/Kubernetes.
  • Unit testing experience (PyTest for backend, Jasmine/Karma for frontend).
  • AI Orchestration: Utilize frameworks like LangChain or LlamaIndex to build complex AI agents and workflows
  • AI/LLM: Proven experience working with various LLM models and Prompt Engineering.
  • Data: Experience with Vector Databases – RAG Framework


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