01Overview
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 EngineeringRetrieval-Augmented Generation (RAG)LLM Application DevelopmentAI Agents and Multi-Agent Systems (preferred)Machine Learning & AI
Resume Matching AlgorithmsRecommendation SystemsNatural Language Processing (NLP)Semantic SearchEmbeddings and Vector SearchVoice AI
Speech-to-Text (STT)Text-to-Speech (TTS)Conversational AIVoice Bot DevelopmentProgramming
Python (Mandatory)FastAPI or FlaskREST APIsSQL and NoSQL DatabasesAI Frameworks
LangChainLlamaIndexHugging Face TransformersPyTorch or TensorFlowVector Databases
PineconeChromaDBFAISSWeaviateMilvusPay: 600,000.00 - 1,200,000.00 per year
Work Location: In person .
