Full Stack Developer (SDE-3)

Overview

About jhana

jhana is an early stage, seed-funded homegrown artificial legal intelligence lab, established at Harvard in February 2022 and made in India. jhana builds datasets, agents, and interfaces that help produce legal work faster and with higher fidelity. jhana’s suite of product offerings use AI to streamline workflows across the legal field including litigation, corporate law and in-house counsel, and the judiciary. jhana was recently declared the most outstanding new legal tech in Asia and Oceania by ALITA, the Asia-Pacific Legal Innovation & Technology Association.

**** About the role****

This role will be part of an agile full-stack engineering team, responsible for the

maintenance, stability, and improvement of the entire jhana.ai service. This team’s primary

tasks will include: integrating new product offerings; rehauling UI to optimize user

experience; expanding the offered databases; closing all bug reports in a timely manner;

maintaining the server and the microservices that support it; and more. All members of

this team will work across diverse repositories and technologies in multiple languages as

necessary.

**** The day-to-day****

This is an advanced role distributed across research, engineering, and product. Relatedly, it

is a combination of invention and optimization. These are the problem statements that this

role will likely continue or begin our work on—

● Develop, test, and maintain full-stack applications, with knowledge of Python and

JS/TS-based frameworks appreciated

● Low-level understanding of relational databases and SQL or similar technologies

● Implementing scale and optimization for billion-scale ElasticSearch, and experience

working with large ElasticSearch systems

● Understanding of deploying and maintaining containerized and concurrent pipes on

AWSwithfamiliarity and experience using tools like Docker and Kubernetes

● Collaborate closely with UX/UI designers to implement MaterialUI-based designs

and ensure a seamless user experience.

● Contribute to building and enhancing RAG (Retrieval Augmented Generation)

pipelines and search stacks.

● Continuously optimize applications for performance, scalability, and security

● Participate in code reviews, troubleshooting, and debugging to ensure high-quality

software delivery.

Skills & Qualifications

Required Skills

● Work experience of 7+ years

● Frontend: Proficiency in JavaScript or Typescript

● Backend: Strong experience with API development and RESTful services, ideally

with substantial experience in Django/Python.

● Databases: Solid knowledge of SQL and database design.

● Search Technologies: Familiarity with ElasticSearch and implementing

search-based features.

● Cloud: Hands-on experience with AWS for deploying and managing cloud-based

applications.

● Containerization: Proficiency with Docker for containerized development and

deployment.

● UI/UX: Experience with MaterialUI and collaborating on responsive, user-centric

designs.

Added Bonuses

● LLM Knowledge: Understanding and hands-on experience working with Large

Language Models (LLMs) in applications.

● Vector Databases: Experience with vector databases, especially FAISS or Milvus,

and howthey integrate with machine learning systems.

● Search Stacks & Agents: Previous experience building search stacks, agents, or

intelligent information retrieval systems.

● RAG Pipelines: Knowledge of building and enhancing Retrieval Augmented

Generation (RAG) pipelines.

● Design Tools: Experience creating designs or wireframes using Figma or other

design tools.

Job Type: Full-time

Pay: ₹5,000,000.00 - ₹7,000,000.00 per year

Benefits:

• Flexible schedule
• Health insurance

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus

Work Location: In person