Job Descritpion of UI Full Stack Developer
6 to 8 Years Relevant Experience
Cloud & Infrastructure
- AWS (EC2, Lambda, S3, SageMaker)
- Kubernetes (K8s) orchestration & Docker containerization
- Infrastructure-as-Code (Terraform/CDK)
AI/ML Engineering
- LLM Expertise: Prompt engineering, fine-tuning, and deployment
- AI Agent Frameworks: LangChain, AgentGPT, or similar
- Open-Source ML Stack: PyTorch, TensorFlow, scikit-learn
- MLOps: Model deployment, monitoring, and CI/CD pipelines
Data Engineering
- SQL/NoSQL Databases: PostgreSQL, MongoDB
- Vector Databases: Pinecone, Weaviate, or FAISS
- Data pipeline design for AI/ML workloads
Development Practices
- Python (production-grade code, async/await)
- API development (FastAPI/Flask)
- Test-driven development (TDD)
Nice-to-Have
- AWS Certifications (ML Specialty, DevOps)
- Experience with RAG architectures
- Contributions to open-source AI projects
Required Skills for UI Full Stack Developer Job
- Python
- Prompt Engineering and AI
- SQL/NoSQL/Vector
- MLOps
Our Hiring Process
- Screening (HR Round)
- Technical Round 1
- Technical Round 2
- Final HR Round
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