SWITS DIGITAL Private Limited
GenAI & AI Application Developer
SWITS DIGITAL Private Limited, San Jose, California, United States, 95199
Overview
Job Title:
GenAI & AI Application Developer Experience:
3–6 years Location:
San Jose, CA Employment Type:
Contract Job Summary We are seeking skilled GenAI & AI Application Developers with 3–6 years of experience in building intelligent applications by integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and state-of-the-art AI frameworks. The ideal candidate will have hands-on expertise with LangChain, Hugging Face, and embeddings, and strong proficiency in embedding AI capabilities into modern full-stack applications (React/Next.js + Python/Node.js). Responsibilities
Design, develop, and deploy AI-driven applications using LLMs, RAG pipelines, LangChain, and Hugging Face models. Implement vector databases and embeddings to enable intelligent search, personalization, and context-aware AI experiences. Build and integrate AI APIs into scalable full-stack applications (React/Next.js for frontend, Python/Node.js for backend). Collaborate with data scientists, ML engineers, and product teams to deliver production-ready GenAI solutions. Optimize model inference, latency, and performance for real-world application usage. Stay updated with the latest advancements in GenAI, LLMOps, and AI frameworks to recommend best practices. Required Skills & Qualifications
3–6 years of hands-on development experience in AI-driven application development. Strong expertise in LLM integration, RAG workflows, LangChain, Hugging Face, and embeddings. Proficiency in building full-stack applications with React.js/Next.js (frontend) and Python/Node.js (backend). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval. Experience deploying AI models via APIs, microservices, or cloud platforms (AWS/GCP/Azure). Strong problem-solving skills and ability to work in agile, fast-paced environments.
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Job Title:
GenAI & AI Application Developer Experience:
3–6 years Location:
San Jose, CA Employment Type:
Contract Job Summary We are seeking skilled GenAI & AI Application Developers with 3–6 years of experience in building intelligent applications by integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and state-of-the-art AI frameworks. The ideal candidate will have hands-on expertise with LangChain, Hugging Face, and embeddings, and strong proficiency in embedding AI capabilities into modern full-stack applications (React/Next.js + Python/Node.js). Responsibilities
Design, develop, and deploy AI-driven applications using LLMs, RAG pipelines, LangChain, and Hugging Face models. Implement vector databases and embeddings to enable intelligent search, personalization, and context-aware AI experiences. Build and integrate AI APIs into scalable full-stack applications (React/Next.js for frontend, Python/Node.js for backend). Collaborate with data scientists, ML engineers, and product teams to deliver production-ready GenAI solutions. Optimize model inference, latency, and performance for real-world application usage. Stay updated with the latest advancements in GenAI, LLMOps, and AI frameworks to recommend best practices. Required Skills & Qualifications
3–6 years of hands-on development experience in AI-driven application development. Strong expertise in LLM integration, RAG workflows, LangChain, Hugging Face, and embeddings. Proficiency in building full-stack applications with React.js/Next.js (frontend) and Python/Node.js (backend). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval. Experience deploying AI models via APIs, microservices, or cloud platforms (AWS/GCP/Azure). Strong problem-solving skills and ability to work in agile, fast-paced environments.
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