Patch Infotech
Patch Infotech is looking for a highly skilled and innovative Generative AI Engineer with hands-on experience in building, deploying, and scaling AI-driven applications.
Company: Patch Infotech
Role: Generative AI Engineer
Location: Gurgaon
Role Focus: • Design, develop, and deploy generative AI applications using modern AI/ML frameworks and cloud platforms • Build and optimize applications leveraging Large Language Models (LLMs) • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques • Implement AI agents, copilots, chatbots, and intelligent automation solutions • Design scalable microservices-based architectures for AI applications • Integrate AI solutions with enterprise systems, APIs, and third-party platforms • Fine-tune, evaluate, and optimize AI models for accuracy, latency, and cost efficiency • Develop and maintain REST APIs and backend services using Python frameworks • Work with embeddings, prompt engineering, model orchestration, and AI workflow automation • Deploy AI applications using Docker, Kubernetes, CI/CD pipelines, and cloud-native technologies • Collaborate with cross-functional teams including product, DevOps, data engineering, and business stakeholders • Ensure AI governance, security, scalability, and responsible AI practices
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI tool implementation, Cloud-native technologies
Recommended resources to build the skills for this position. Sponsored.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
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