Job description
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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Note: Apply only if you are an immediate joiner
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