Frontend Development with Generative AI

2 weeks ago

Bengaluru, Karnataka, India Enable Data Incorporated Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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 and

·       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

·       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 and

Preferred Qualifications

·       Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

·       Experience with cloud platforms such as AWS, GCP, or Azure, and CI/CD pipelines.

·       Exposure to full-stack development technologies (e.g., , FastAPI).

·       Strong communication skills and a proven ability to collaborate effectively within cross-functional teams.

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