Job Overview
Company
Kyzer Softeware Pvt.Ltd.
Category
Computer Occupations
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Job Description
<p><p><b>Role :</b></p><p><p><b><br/></b></p>Were seeking a skilled AI Developer (TypeScript & Python) to join our AI squad.
You will design, develop, and integrate RAG and conversational AI features into our TypeScript-based products, working closely with product teams to embed AI-driven solutions like chatbots and knowledge retrieval systems.
This role emphasizes TypeScript for application development and integration, with Python experience as a strong plus to support model development and preprocessing in collaboration with the :</b></p><p><b><br/></b></p>- Develop and deploy RAG systems to retrieve and generate contextually relevant responses using TypeScript and Node.js.<br/><br/></p><p>- Build conversational AI features, such as chatbots and virtual assistants, integrated into our web and mobile applications.<br/><br/></p><p>- Create and maintain TypeScript-based APIs (REST/GraphQL) to serve AI outputs to product teams.<br/><br/></p><p>- Integrate with vector databases (e.g., Pinecone, Weaviate) and cloud-based AI services (e.g., Hugging Face, AWS Bedrock) for RAG and conversational AI.<br/><br/></p><p>- Use libraries like TensorFlow.js or ONNX.js for client-side or server-side AI inference.<br/><br/></p><p>- Collaborate with team members to incorporate pre-trained models or embeddings into TypeScript applications, leveraging Python for model training or preprocessing when needed.<br/><br/></p><p>- Work with product teams to embed AI features into React-based front-ends or Node.js back-ends.<br/><br/></p><p>- Optimize AI features for performance, scalability, and user experience within our TypeScript ecosystem.<br/><br/></p><p>- Contribute to reusable TypeScript components and SDKs for seamless AI integration across Were Looking For :</b> 4+ years of professional software development experience with TypeScript and JavaScript.</p><b><br/></b></p><p><b>AI Knowledge :</b> Familiarity with AI/ML concepts, particularly NLP, chatbots, or RAG systems.</p><p><br/><b>Technical Skills :</b></p><p><p><b><br/></b></p>- Proficiency in TypeScript, Node.js, and front-end frameworks (e.g., React/NextJS).<br/><br/></p><p>- Experience with AI libraries like TensorFlow.js, ONNX.js, or similar for inference.<br/><br/></p><p>- Knowledge of REST/GraphQL APIs and integrating with cloud-based AI services (e.g., Hugging Face, AWS Bedrock).<br/><br/></p><p>- Familiarity with vector databases (e.g., Pinecone, Weaviate) or vector search Python Experience (Strong Plus) :</b> Knowledge of Python for AI/ML tasks, such as model training, fine-tuning, or embedding generation using libraries like Hugging Face Transformers, Sentence Transformers, or Collaboration :</b> Ability to work with team members to integrate pre-trained models or embeddings into TypeScript Problem-Solving :</b> Strong ability to design and implement scalable AI-driven features within a TypeScript stack.</p><p><br/></p></p><p><b>Nice to Have :</b><br/><br/></p><p>- Experience with conversational AI frameworks (e.g., Botpress, Rasa) or RAG pipelines (e.g., LangChain, LlamaIndex).<br/><br/></p><p>- Experience with React/NextJS.<br/><br/></p><p>- Familiarity with exporting models to ONNX or TensorFlow.js formats.<br/><br/></p><p>- Knowledge of cloud platforms (e.g., AWS, GCP) for AI deployment.</p><br/></p> (ref:hirist.tech)
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