Job Title: AI Engineer
Experience: 0 to 5 Years
Key Responsibilities
- Design, develop, and deploy AI-powered applications using GPT and Large Language Models (LLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
- Develop AI-based resume matching systems to intelligently match candidates with job descriptions.
- Integrate Voice AI capabilities, including speech-to-text, text-to-speech, and conversational AI solutions.
- Design and implement personalized recommendation engines using machine learning and AI techniques.
- Create, optimize, and evaluate prompts for LLMs to improve response quality and accuracy.
- Fine-tune AI models and optimize inference performance.
- Develop scalable REST APIs and microservices for AI applications.
- Work closely with product managers, data scientists, and software engineers to deliver AI-driven features.
- Monitor model performance, troubleshoot issues, and continuously improve AI solutions.
- Stay up to date with the latest advancements in Generative AI, LLMs, and emerging AI technologies.
Required Skills
Generative AI
- GPT Integration (OpenAI, Azure OpenAI, Claude, Gemini, or similar)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- LLM Application Development
- AI Agents and Multi-Agent Systems (preferred)
Machine Learning & AI
- Resume Matching Algorithms
- Recommendation Systems
- Natural Language Processing (NLP)
- Semantic Search
- Embeddings and Vector Search
Voice AI
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
- Conversational AI
- Voice Bot Development
Programming
- Python (Mandatory)
- FastAPI or Flask
- REST APIs
- SQL and NoSQL Databases
AI Frameworks
- LangChain
- LlamaIndex
- Hugging Face Transformers
- PyTorch or TensorFlow
Vector Databases
- Pinecone
- ChromaDB
- FAISS
- Weaviate
- Milvus
Pay: ₹600,000.00 - ₹1,200,000.00 per year
Work Location: In person
