Backend Engineer (Lead)

About the Company

Adalat AI is a legal-tech startup revolutionizing the Indian judicial system through advanced artificial intelligence solutions, by building an end-to-end justice tech stack. Operating across 10 Indian states and supported by some of the world's largest foundations, we're dedicated to eliminating judicial delays and enhancing access to justice through innovative technology.

Our solutions, including state-of-the-art ASR models for Indian languages, have been successfully implemented in multiple high courts, with our recent launch at the Delhi High Court marking a significant milestone. Founded by a team combining expertise in law, technology, and computational linguistics, with credentials from Harvard, Oxford, MIT, and IIIT Hyderabad, Adalat AI has earned recognition through prestigious competitions and partnerships, demonstrating our commitment to bringing India's courts into the digital age alongside other modernized systems like UPI, Aadhaar, and online taxation.

Key Responsibilities

As an early-stage member of the team, some of your responsibilities will include:

Working closely with founding team to develop the backend and build out product features at a rapid pace.
Identifying and driving innovative solutions to address the most critical needs of our Users (Judges at Courts of Different Stages in India).
Work in close collaboration with cross-functional partners in data science, design and frontend functions.
Solve complex engineering problems for ML Platform.
Build cost effective and scalable systems.
Contribute to product development by pitching in with ideas and doing proof-of-concepts.

Qualifications

Between 5-8 years of work experience in the industry.
Experience of domain modelling and deep understanding of distributed systems.
Proficiency with any part of the given technology stack: Golang, Serverless, Event Driven Architectures, NoSql/SQL, Microservice Architecture
Hands-on experience in using versioning systems like Git.
Experience working with CI/CD pipelines.
Hands-on experience with Docker and Kubernetes in production environments.
Experience with monitoring and observability tools (Prometheus, NewRelic, etc.).
Strong interpersonal skills and a desire to work collaboratively to achieve objectives
Excellent organisational and analytical abilities

(Don’t worry about ticking all boxes)

Nice to have

Experience with GraphQL.
Experience with full text search engine like Elastic Search or similar.
Experience working with streaming systems or queues like Kafka, RabbitMQ etc
Experience with Helm charts or similar tools.
Knowledge of encryption engineering.

What You Will Achieve in a Year

Built the Backend for Court Systems in India to cater to 10000+ courtrooms running 8-10 hrs per day in the first 2 years
Build LargeScale Distrubuted Systems to help Courts create/manage/share/edit highly classified legal documents of court cases
Build the ML infrastructure for a Voice First text editor, semantic search, feedback loops in the product for ML retraining