Python programming

Generative AI / LLM fundamentals

OpenAI / Azure OpenAI or similar LLM APIs

Prompt Engineering

REST APIs and FastAPI/Flask

Machine Learning fundamentals

NLP fundamentals

LangChain / LlamaIndex – preferred

Vector databases – FAISS, Pinecone, Chroma, Weaviate

SQL and basic database concepts

Git and GitHub

Basic cloud knowledge – AWS / Azure / GCP

Responsibilities

Develop and integrate AI/ML-based applications using Python.

Build applications using LLMs and Generative AI APIs.

Create and optimize prompts for different business use cases.

Develop REST APIs using FastAPI or Flask.

Work on RAG-based applications, embeddings, and vector databases.

Integrate AI models with existing applications and data sources.

Perform testing, debugging, and performance optimization.

Work with senior AI engineers to implement AI solutions.

Research and evaluate emerging AI tools, frameworks, and models.

Document technical solutions and development processes.

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