AI-Powered Platform Development -- 2
Budget: ₹1,500 – ₹12,500 INR
We are looking for experienced AI Developers to help design and build an advanced AI-powered platform. The role involves developing intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, multimodal AI capabilities, and scalable backend architectures. You will work closely with the founding team to bring innovative ideas to life—from concept to production-ready systems.
Key Responsibilities
Build and deploy AI chatbots using modern LLM frameworks
Design and implement RAG pipelines for document and knowledge-base querying
Integrate OCR and Vision models for document and image understanding
Implement Text-to-Speech (TTS), Speech-to-Text (STT), and Speech-to-Speech (STS) pipelines
Fine-tune LLMs to create offline, self-hostable AI models
Architect and develop a scalable backend system for AI workloads
Create end-to-end AI pipelines optimized for performance and scalability
Integrate third-party APIs and AI services where required
Collaborate closely with product and engineering teams to turn ideas into working solutions
Required Skills & Experience
Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.)
Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.)
Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models)
Knowledge of speech systems (TTS, STT, STS)
Experience in LLM fine-tuning, quantization, and model optimization
Ability to deploy self-hosted / offline AI models
Strong backend development skills (Python, Node.js, FastAPI, Django, etc.)
Experience designing scalable, modular backend architectures
Familiarity with vector databases (FAISS, Milvus, Pinecone, Weaviate, etc.)
Understanding of cloud, containers, and MLOps (Docker, Kubernetes is a plus)
Key Responsibilities
Build and deploy AI chatbots using modern LLM frameworks
Design and implement RAG pipelines for document and knowledge-base querying
Integrate OCR and Vision models for document and image understanding
Implement Text-to-Speech (TTS), Speech-to-Text (STT), and Speech-to-Speech (STS) pipelines
Fine-tune LLMs to create offline, self-hostable AI models
Architect and develop a scalable backend system for AI workloads
Create end-to-end AI pipelines optimized for performance and scalability
Integrate third-party APIs and AI services where required
Collaborate closely with product and engineering teams to turn ideas into working solutions
Required Skills & Experience
Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.)
Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.)
Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models)
Knowledge of speech systems (TTS, STT, STS)
Experience in LLM fine-tuning, quantization, and model optimization
Ability to deploy self-hosted / offline AI models
Strong backend development skills (Python, Node.js, FastAPI, Django, etc.)
Experience designing scalable, modular backend architectures
Familiarity with vector databases (FAISS, Milvus, Pinecone, Weaviate, etc.)
Understanding of cloud, containers, and MLOps (Docker, Kubernetes is a plus)