● GenAI experience: 2-3+ years of hands-on, production-level experience, including Agentic AI.
Key Responsibilities
GenAI Solution Development
● Build and deploy GenAI-powered features within real-world products, spanning backend
(Python — Django/FastAPI) and frontend (React)
layers.
● Design and implement RAG pipelines, including:
○ Embeddings
○ Vector databases
○ Retrieval strategies
● Integrate GenAI capabilities with backend systems via APIs and services.● Build responsive, GenAI-integrated UI/UX components in React to surface AI-driven
features to end users.
System & Solution Ownership
● Own GenAI solutions end-to-end, from design to production rollout — across backend,
frontend, and AI layers.
● Design RAG architectures and decide:
○ Chunking strategies
○ Retrieval approaches
● Handle ambiguous requirements and convert them into working, shippable solutions.
Reliability, Quality & Performance
● Address latency, cost, and evaluation considerations in GenAI systems.
● Implement guardrails and safety mechanisms.
● Contribute to monitoring and basic operational readiness.