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Key Responsibilities
Generative AI & Intelligent Systems
· Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA.
· Develop and optimize RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate).
· Create autonomous or semi-autonomous agentic workflows using frameworks like LangChain, AutoGen, or CrewAI.
· Fine-tune and evaluate Large Language Models for industry-specific tasks.
· Collaborate with cross-functional teams to translate business requirements into innovative AI-powered features.
Frontend Development
· Build responsive and performant web applications using modern JavaScript frameworks like React.js and Next.js.
· Integrate Generative AI models and APIs seamlessly into user-facing applications.
· Design interactive visualizations and conversational user interfaces to enhance AI output accessibility.
· Ensure frontend components are accessible, responsive, and compatible across multiple browsers.
Generative AI Expertise
· Deep understanding of LLMs, prompt engineering, and transformer architectures.
· Hands-on experience with RAG architectures, vector search, and embedding models.
· Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
· Familiarity with agentic frameworks like AutoGen, CrewAI, or LangGraph.
· Experience deploying AI models via APIs or microservices.
Frontend Development Expertise
· Strong proficiency in HTML5, CSS3, JavaScript (ES6+), and frameworks like React.js.
· Experience with state management tools such as Redux or Zustand and frontend testing frameworks like Jest or Cypress.
· Ability to integrate with RESTful and GraphQL APIs.
· Knowledge of data visualization libraries, including D3.js and Chart.js.
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