Full Stack Senior Engineer

18 hours ago

Baner, Maharashtra, India Codebase Full time ₹ 12,00,000 - ₹ 24,00,000 per year
Company Introduction

Codebase is a young software services company with a great pool of tech-savvy developers. We started in the spring of 2018, and have been growing aggressively. We are located in Pune, India, and serve software product companies across the globe; focusing on enterprise SaaS, eCommerce, cloud, and application development.

We are looking for a talented Full Stack Engineer with strong experience in Python and React to join our team. The ideal candidate will also have a good understanding of Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Generative AI technologies. This role involves building production-grade web applications and integrating intelligent AI-driven solutions.

Key Responsibilities:
  • Design, develop, and maintain full-stack applications using Python (FastAPI / Django / Flask) and React.
  • Implement scalable APIs and integrate with AI/LLM backends for real-time interaction or content generation.
  • Work with vector databases, RAG pipelines, and model workflows to build retrieval-based AI systems.
  • Collaborate with interdisciplinary teams to translate AI research into deployable features.
  • Optimize application performance, scalability, and data handling.
  • Follow best practices in software design, architecture, and deployment using modern DevOps pipelines.
Qualifications:
  • 3-5 years Strong proficiency in Python (preferably with FastAPI, Django, or Flask).
  • Solid experience with and frontend development tools.
  • Familiarity with RAG architecture, LLMs, and Generative AI concepts.
  • Understanding of RESTful APIs and microservices.
  • Experience with databases (PostgreSQL, MongoDB, or similar).
  • Knowledge of cloud platforms (AWS, GCP, or similar) is a plus.
  • Strong problem-solving skills and an appetite for learning emerging AI technologies.

Nice to have:

  • Experience with vector databases (Pinecone, FAISS, Chroma, etc.).
  • Familiarity with open-source LLM frameworks like LangChain, LlamaIndex, or Hugging Face.
  • Exposure to CI/CD, containerization (Docker), and MLOps concepts.
Soft Skills
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal abilities.
  • Ability to work independently and as part of a team.
  • Proactive and eager to learn new technologies.

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