AI Developer

We’re 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 team. Responsibilities

• Develop and deploy RAG systems to retrieve and generate contextually relevant responses using TypeScript and Node.js.
• Build conversational AI features, such as chatbots and virtual assistants, integrated into our web and mobile applications.
• Create and maintain TypeScript-based APIs (REST / GraphQL) to serve AI outputs to product teams.
• Integrate with vector databases (e.g., Pinecone, Weaviate) and cloud-based AI services (e.g., Hugging Face, AWS Bedrock) for RAG and conversational AI.
• Use libraries like TensorFlow.js or ONNX.js for client-side or server-side AI inference.
• Collaborate with team members to incorporate pre-trained models or embeddings into TypeScript applications, leveraging Python for model training or preprocessing when needed.
• Work with product teams to embed AI features into React-based front-ends or Node.js back-ends.
• Optimize AI features for performance, scalability, and user experience within our TypeScript ecosystem.
• Contribute to reusable TypeScript components and SDKs for seamless AI integration across products. What We’re Looking For
• Experience : 4+ years of professional software development experience with TypeScript and JavaScript.
• AI Knowledge : Familiarity with AI / ML concepts, particularly NLP, chatbots, or RAG systems.
• Technical Skills : ○ Proficiency in TypeScript, Node.js, and front-end frameworks (e.g., React / NextJS). ○ Experience with AI libraries like TensorFlow.js, ONNX.js, or similar for inference. ○ Knowledge of REST / GraphQL APIs and integrating with cloud-based AI services (e.g., Hugging Face, AWS Bedrock). ○ Familiarity with vector databases (e.g., Pinecone, Weaviate) or vector search libraries.
• Python Experience (Strong Plus) : Knowledge of Python for AI / ML tasks, such as model training, fine-tuning, or embedding generation using libraries like Hugging Face Transformers, SentenceTransformers, or PyTorch.
• Collaboration : Ability to work with team members to integrate pre-trained models or embeddings into TypeScript applications.
• Problem-Solving : Strong ability to design and implement scalable AI-driven features within a TypeScript stack. Nice to Have
• Experience with conversational AI frameworks (e.g., Botpress, Rasa) or RAG pipelines (e.g., LangChain, LlamaIndex).
• Experience with React / NextJS
• Familiarity with exporting models to ONNX or TensorFlow.js formats.
• Knowledge of cloud platforms (e.g., AWS, GCP) for AI deployment.

Please provide the following details :

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Expected CTC :

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