AI/ML Engineer
- Jaipur, Rajasthan, India
- 30000k - 60000k
Job Details
### 🚀 About the Role
We are looking for a hands-on AI/ML Engineer to build and deploy AI-powered features across web and mobile applications. You will work on real-world use cases like chatbots, document intelligence, recommendation systems, and workflow automation.
### 🧠 Key Responsibilities
- Design and develop AI-powered solutions using Large Language Models (LLMs)
- Build RAG (Retrieval-Augmented Generation) pipelines using vector databases
- Integrate AI services (OpenAI, Claude, open-source models)
- Develop APIs using Python (FastAPI/Flask) for AI services
- Work closely with frontend and backend teams to integrate AI into production apps
- Optimize prompts, latency, and cost of AI usage
- Fine-tune or customize models when required (optional but preferred)
### 🛠️ Required Skills
- Strong Python programming skills
- Experience with LLM frameworks (LangChain, LlamaIndex)
- Knowledge of embeddings and vector databases (Pinecone, Weaviate, Supabase)
- Experience with REST APIs and microservices architecture
- Understanding of NLP concepts
### ✅ Good to Have
- Experience with Docker & cloud platforms (AWS/GCP/Azure)
- Exposure to open-source models (Llama, Mistral)
- Basic understanding of frontend/backend integration
### 🎯 What Success Looks Like
- Deliver production-ready AI features
- Reduce manual work via automation
- Build scalable AI systems used by real clients
Skill & Experience
- PHP, HTML, CSS, and JavaScript
- Implement complex features
- Optimize the performance of web applications
Connect with us now
### 🚀 About the Role
We are looking for a hands-on AI/ML Engineer to build and deploy AI-powered features across web and mobile applications. You will work on real-world use cases like chatbots, document intelligence, recommendation systems, and workflow automation.
### 🧠 Key Responsibilities
- Design and develop AI-powered solutions using Large Language Models (LLMs)
- Build RAG (Retrieval-Augmented Generation) pipelines using vector databases
- Integrate AI services (OpenAI, Claude, open-source models)
- Develop APIs using Python (FastAPI/Flask) for AI services
- Work closely with frontend and backend teams to integrate AI into production apps
- Optimize prompts, latency, and cost of AI usage
- Fine-tune or customize models when required (optional but preferred)
### 🛠️ Required Skills
- Strong Python programming skills
- Experience with LLM frameworks (LangChain, LlamaIndex)
- Knowledge of embeddings and vector databases (Pinecone, Weaviate, Supabase)
- Experience with REST APIs and microservices architecture
- Understanding of NLP concepts
### ✅ Good to Have
- Experience with Docker & cloud platforms (AWS/GCP/Azure)
- Exposure to open-source models (Llama, Mistral)
- Basic understanding of frontend/backend integration
### 🎯 What Success Looks Like
- Deliver production-ready AI features
- Reduce manual work via automation
- Build scalable AI systems used by real clients