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workable

Full Stack Python Engineer

Weekday
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 days ago
awsdjangofastapiflaskpythontypescript

Full Job Posting

Key Responsibilities

  • Design, build, and maintain scalable backend systems powering AI-driven applications
  • Develop and optimize Python-based services for processing complex legal and medical documents
  • Collaborate with founders, product teams, and engineers to translate user needs into technical solutions
  • Integrate third-party services and build internal APIs for workflows, data pipelines, and AI models
  • Use data insights and user feedback to improve system performance and product features
  • Contribute to system architecture, code reviews, and engineering best practices in a fast-paced startup environment

Qualifications

  • Bachelor’s degree from a top-tier institution or equivalent experience in leading tech companies or startups
  • 3+ years of experience as a Python backend or full-stack engineer in high-growth environments
  • Strong experience with Python frameworks such as FastAPI, Flask, or Django, with a focus on performance and scalability
  • Hands-on experience with LLMs and Retrieval-Augmented Generation (RAG) workflows
  • Familiarity with high-throughput APIs, document processing systems, and cloud platforms (preferably AWS)
  • Strong communication skills and ability to collaborate across distributed teams
  • Good to Have
  • Experience with deploying and integrating foundation models in production environments
  • Exposure to frontend technologies such as React, Next.js, or full-stack development using TypeScript and Node.js
  • Key Responsibilities
  • Design, build, and maintain scalable backend systems powering AI-driven applications
  • Develop and optimize Python-based services for processing complex legal and medical documents
  • Collaborate with founders, product teams, and engineers to translate user needs into technical solutions
  • Integrate third-party services and build internal APIs for workflows, data pipelines, and AI models
  • Use data insights and user feedback to improve system performance and product features
  • Contribute to system architecture, code reviews, and engineering best practices in a fast-paced startup environment

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