Caw Studios

About the Role

We are looking for a strong IC who can build systems from scratch and own them end-to-end. You will convert requirements into technical designs, develop across the stack, and deliver production-ready solutions with minimal supervision. You’ll be deeply hands-on, with a small mentorship component (~10%).

Responsibilities

• Architecture & Design:
• Translate product requirements into clear technical plans
• Design REST APIs, service boundaries, and system interactions
• Define caching, pagination, error handling, and performance strategies
• Ensure security, scalability, and reliability by design

• End-to-End Development:
• Build backend services in Node.js + TypeScript
• Develop responsive UI flows in React using Hooks and best patterns
• Integrate with external APIs/services, implement auth, and handle integration edge cases
• Write clean, modular code following SOLID and engineering standards

• Ownership & Delivery:
• Take features from concept → build → test → deploy → stabilize
• Work with CI/CD pipelines, containerization, and staging/prod environments
• Debug production issues, optimize performance, and ensure stability

• Engineering Quality:
• Maintain strong test coverage (unit/integration)
• Participate in code reviews, improve maintainability and patterns
• Identify technical risks and propose pragmatic solutions

• Mentorship (10%):
• Support juniors through reviews and pairing
• Share reusable patterns and best practices

Requirements

• 4–7 years of full-stack engineering experience
• Strong hands-on expertise in Node.js, TypeScript, React
• Proven track record of building products/features from scratch
• Experience with:
• REST architecture
• Async programming and performance tuning
• CI/CD, Docker, testing, and debugging complex issues
• Deploying and maintaining production-grade systems

Nice to Have

• Redis, Elasticsearch, queues (Kafka/RabbitMQ)
• Next.js, SSR/SSG
• Cloud experience (AWS/GCP/Azure) and monitoring tools

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!