AI Developer

3 days ago

Mumbai, Maharashtra, India Devlats Pvt Ltd Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Experience : 4+Years

Responsibilities

● Develop and deploy RAG systems to retrieve and generate contextually relevant responses using

TypeScript and

● 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 or 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 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, , and front-end frameworks (e.g., React/NextJS).

○ Experience with AI libraries like , , 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.

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