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 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 Were 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, Sentence Transformers, 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.