L3 SDE(Python-Django)

Experience: 3-7 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Roles and Responsibilities:

• Must have experience in Microservice architecture with the ability to collaborate effectively with team members and build positive working relationships.
• Design and build and deploy APIs to meet business requirements.
• High level of commitment to business satisfaction and agility.
• Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
• Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
• Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
• Work in an agile environment to deliver high-quality solutions.
• Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
• Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)

Mandatory Criteria

• Strong knowledge of React Native fundamentals — components, hooks, navigation, and state management.
• Ability to build iOS and Android apps from the same codebase.
• Experience with Expo SDK for building, testing, and deploying apps.
• Familiar with Expo’s managed vs. bare workflow, push notifications, deep linking, and app store deployments.
• Understanding of mobile app performance optimization and experience integrating with REST/GraphQL APIs.
• Proficiency in local storage, offline sync, and permissions handling.
• Ability to implement pixel-perfect UI from Figma/Sketch with cross-device responsiveness.
• Hands-on experience with Git/GitHub workflows, CI/CD tools (Expo EAS, Fastlane), and testing frameworks (Jest, Detox).
• Comfort using VS Code, debugging tools, and running Docker, emulators, or local test servers without lag.

If interested kindly share your updated resume on 82008 31681

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Django Python framework

PostgreSQL database

• Coordinating with development teams to find out the needs of the application.
• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

What you need to have: