Job Description

Job Description :


Responsibilities :


- Build and deploy production-ready AI-first apps using full-stack skills.

- Jump between frontend, backend, ML models, and infrastructure to ship key features.

- Implement prompt workflows, model inference, and agent-based automation.

- Contribute to both product logic and experimentation workflows.

- Optimize performance, model accuracy, and usability in real-world settings.


Requirements :


- You have 3+ years of hands-on experience building scalable systems.

- You're proficient in Python and data handling, with strong knowledge of deep learning fundamentals, basic neural networks, gradient descent, and training pipelines.

- You've worked with machine learning frameworks for tasks like feature extraction, model training, and

evaluation.

- You've built and shipped AI-first applications end-to-end.

- You're confident switching between React, Node, Python, Postgres, and cloud infrastructure.

- You're comfortable with ambiguity and figure things out without waiting for a spec.


Good to Have (Huge Plus) :


- Experience with PyTorch or TensorFlow.

- Familiarity with LangGraph (must-have) or other agent frameworks.

- Hands-on with LangChain and/or LLM finetuning.

- Experience integrating models into full-stack systems.


Our Tech Stack :


- Frontend : React, Tailwind, TypeScript.

- Backend : Python (FastAPI), Node.js, PostgreSQL.

- AI/ML : PyTorch, TensorFlow, HuggingFace, LangChain, LangGraph, OpenAI APIs.

- Infra : AWS, Vercel, GitHub Actions, Cloudflare, Terraform.


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