Backend Developer

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

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

We are looking for Django Developers who will  work on a wide range of industries namely automobile, banking, education, fashion, etc.

Skills Required: 

• Professional and precise communication skills.
• Creating self-contained, reusable, testable modules and components..
• Extensive knowledge of CSS and JS methods for providing performance visual effects and keeping the frame rate above 30fps at all times.
• Thorough understanding of the responsibilities of the platform,  database, API, caching layer, proxies, and other web services used in the system.
• Validating user actions on the client side and providing responsive  feedback.
• Writing non-blocking code, and resorting to advanced techniques such as multithreading, when needed.
• Experience with all levels of operation available to the front-end, such as from creating XHRs in vanilla JS to using a custom wrapper around resources.
• Experience with building the infrastructure for serving the front-end app and assets.

Qualifications and Experience Requirements:

• 3+ years of experience in Backend Development
• Preferred skills - Python, MySql, PostgreSQL
• Proficiency with Python, Django framework, JavaScript, CSS and HTML5.
• Knowledge of AWS Cloud Services ( EC2, AWS Lambda,Elastic Beanstalk, API Gateway, S3 etc )
• Familiar with XAMPP, LAMP etc.