AI Engineer with ML, LLM, NLP, Python, Nextjs, React, Java, Node.js

GirnarSoft · posted 5 months ago

Jaipur

About the role

The highest priority needs are bolded.

Core Frameworks: Strong in React.js / Next.js with state management ( Redux, Zustand, Recoil ).
Styling/UI: Tailwind, Chakra UI, Material UI, or shadcn/ui for polished and fast UI builds.
TypeScript: Comfort working with typed front-ends to ensure maintainability.
Data Handling: Experience with REST/GraphQL, handling streaming responses (important for GenAI).
Real-time UX: Familiar with websockets, server-sent events, or React Suspense for AI "typing" effects and live updates.

APIs & SDKs: Experience with OpenAI, Anthropic, Cohere, Hugging Face , or custom LLM endpoints (Ollama, vLLM, etc.).
LangChain / LlamaIndex: Comfort orchestrating prompts, memory, RAG pipelines, and embeddings.
Vector DBs: Pinecone, Weaviate, Qdrant, or Chroma for knowledge retrieval.
Prompt Engineering Basics: Understanding how to design structured prompts and manage input/output formats.
Model Hosting: Experience consuming both SaaS APIs and self-hosted LLMs via REST/gRPC.

Node.js / Express / Fastify: To build middle layers that handle auth, caching, and API orchestration.
Serverless: Vercel, AWS Lambda, or Azure Functions for scalable deployment.
Database: Postgres/MySQL via Prisma/TypeORM for persistent storage.
Authentication: OAuth2, JWT, Clerk/Auth0/Supabase Auth for user/session handling.
Performance & Cost Management: Handling token limits, caching AI responses, and batching requests.

Version Control: Git/GitHub with good branching and PR practices.
CI/CD: GitHub Actions, Vercel pipelines, or Docker workflows.
Cloud: Familiarity with at least one platform (AWS, GCP, Azure) for hosting APIs and data.
Agile Mindset: Offshore folks who can work async – Slack/Notion/Jira fluency is underrated.