Vacancy description
India, Pune
GenAI Engineer - LLM/RAG in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
GenAI EngineerLocation: Hyderabad, Chennai, Bangalore, PuneExperience: 5 to 11 YearsAbout the Role:We are looking for experienced GenAI Engineers with strong hands-on expertise in Machine Learning, Generative AI, LLM integration, RAG architectures, AI agents, and scalable AI deployment. The ideal candidate should have practical experience in developing, integrating, deploying, and monitoring production-grade AI and GenAI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities:Generative AI and Machine Learning:- Design, develop, and deploy Machine Learning and Generative AI solutions.- Build and integrate LLM-based applications for enterprise use cases.- Perform model experimentation, fine-tuning, evaluation, deployment, and monitoring.- Develop scalable and production-ready AI solutions.- Work closely with Data Science, Data Engineering, and Product https://jobeax.com/link/BID4AfKgrUFDCtbD and RAG:- Develop applications using LLMs such as OpenAI, BERT, LLaMA, and Gemini.- Build and optimize Retrieval-Augmented Generation pipelines.- Integrate and work with Vector Databases.- Develop knowledge retrieval and context management solutions.- Implement prompt engineering and optimization techniques.- Evaluate LLM performance, accuracy, latency, and https://jobeax.com/link/wTJYqbGEZTA91Dns Agent Development:- Design and develop AI agents for automation and intelligent workflows.- Implement agent orchestration and tool integration.- Develop scalable agentic AI solutions for enterprise use https://jobeax.com/link/p9YtH9K96GYhBF7E Deployment and MLOps:- Deploy and monitor machine learning and GenAI models in production environments.- Use MLflow for experiment tracking and model lifecycle management.- Work with Docker and Kubernetes for containerized AI deployments.- Implement monitoring, logging, and observability for AI applications.- Follow CI/CD and MLOps best https://jobeax.com/link/b8wVqVxDAe5t0G5u and Compliance:- Implement security best practices for LLM and GenAI applications.- Ensure appropriate handling of enterprise data and sensitive information.- Support AI governance, compliance, and responsible AI https://jobeax.com/link/wJIgo45kO3tINlTo Skills:- 5 to 11 years of experience in Machine Learning, AI, Data Science, or related fields.- Strong hands-on experience in Generative AI and LLM-based applications.- Experience with LLMs such as OpenAI, BERT, LLaMA, and Gemini.- Strong experience in RAG pipeline development.- Hands-on experience with Vector Databases.- Experience in AI Agent design and development.- Strong understanding of Prompt Engineering.- Experience with model design, fine-tuning, experimentation, deployment, and monitoring.- Strong programming skills in Python.- Experience with TensorFlow and/or PyTorch.- Experience with MLflow.- Experience with Docker and Kubernetes.- Knowledge of scalable AI deployment and production ML systems.- Understanding of AI security and compliance requirements. (ref:hirist.tech)
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