Description

Key Skills: Python, API frameworks (FastAPI, Flask), SQL, NoSQL, Vector Databases, Google Cloud Platform (GCP).

Roles & Responsibilities:

  • Develop and maintain robust Python applications using FastAPI and Flask.
  • Design and implement database solutions using SQL, NoSQL, and Vector Databases.
  • Leverage Google Cloud Platform services including Cloud Storage, Virtual Machines, Vertex AI, Cloud Run, and BigQuery.
  • Build and deploy AI agents utilizing Gemini as a Large Language Model (LLM).
  • Collaborate with cross-functional teams to create conversational chatbots and custom AI agents using GCP services.
  • Utilize version control tools such as Git, Bitbucket, or CodeCommit for code management.
  • Engage in pair programming and utilize tools like GitHub Copilot or Gemini Code Assist to enhance development efficiency.
  • Maintain excellent communication with team members and stakeholders, demonstrating a proactive and flexible work style.

Experience Required:

  • 5 - 8 years of experience developing scalable Python applications using FastAPI and Flask.
  • Strong understanding of database systems including SQL, NoSQL (e.g., MongoDB, Firestore), and Vector Databases (e.g., FAISS, Pinecone).
  • Experience working with GCP services in real-world deployments, especially BigQuery, Vertex AI, and Cloud Run.
  • Prior experience building and deploying AI/ML solutions and chatbot applications using LLMs.
  • Familiarity with CI/CD pipelines and source control workflows using Git-based tools.
  • Ability to work in Agile teams, participate in code reviews, and deliver high-quality code on time.

Education: Any Graduaton

Key Skills
Education

Any Graduate

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