AI & ML Engineer

Overview Job Title: AI/ML Engineer. Experience: 4-7 yrs. Location: Gurugram (Hybrid). Budget: 16-22 LPA. Full-Time. NP - Immediate Joiners to 15 Days Preferred. Candidates with prior experience in reputed MNCs preferred. Job Summary Quadrafort is looking for a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI technologies. The ideal candidate should have hands-on experience in building scalable AI solutions using LLMs, RAG pipelines, AI Agents, and modern ML frameworks. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions for enterprise applications. Build and optimize Generative AI applications using LLMs, RAG pipelines, LangChain, and AI Agents. Develop intelligent NLP-based systems including embeddings, semantic search, classification, and conversational AI. Implement end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Work with vector databases such as Pinecone or FAISS for semantic retrieval systems. Develop REST APIs and AI services using FastAPI or similar frameworks. Collaborate with cross-functional teams including Data Engineers, DevOps, Product Teams, and Business Stakeholders. Optimize AI models for performance, scalability, cost efficiency, and latency. Ensure proper documentation, version control, and deployment practices. Required Skills Programming & Databases PythonSQL AI/ML Technologies Machine LearningDeep LearningNLPPredictive ModelingFeature EngineeringModel Evaluation & OptimizationGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringLangChain / LangGraphAI Agents / Agentic AIOpenAI APIsHugging Face Frameworks & Tools Scikit-learnTensorFlowPyTorchFastAPIPandas / NumPy Vector Databases PineconeFAISS Cloud & DevOps AWS (EC2, S3, SageMaker, Bedrock)DockerGit Experience 47 Years of relevant experience in AI/ML and Generative AI technologies. Strong hands-on project experience in production-grade AI systems. Experience working in Agile development environments. .