Posted on: 03/06/2025
Job Description :
Responsibilities :
- 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'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) :
- 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 :
- 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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Posted By
Ranjana Singh
Last Login: NA as recruiter has posted this job through third party tool.
Posted in
AI/ML
Functional Area
Full-Stack Development
Job Code
1489589
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