Full Stack Python Engineer
Bengaluru · Senior
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Job description
Full Stack Python Engineer
Weekday AI · Bengaluru, India (Hybrid) · Full-time · Posted 2026-09-29
Workplace: hybrid
Department: Weekday's Client via platform
Description
**This role is for one of the Weekday's clients
**Min Experience: 4+ years
Location: Bengaluru
JobType: full-time
We are seeking a Full Stack Python Engineer to help build and scale an AI-driven medicolegal platform. You will collaborate with global engineering and operations teams to develop robust backend systems that automate workflows for personal injury law firms. Your work will directly impact how legal teams process cases, analyze documents, and generate insights more efficiently.
Requirements
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
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