Vacancy description
India, Bengaluru
Infosys - AI Engineer - LLM/RAG in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role : We are looking for a highly experienced AI Engineer to design, develop, and deploy enterprise-grade AI and Generative AI solutions. The role requires strong hands-on engineering expertise along with the ability to lead complex AI initiatives and guide engineering https://jobeax.com/link/ZlR3JZToBtLJKlA9 Responsibilities : - Design, develop, and deploy production-grade AI/ML solutions.- Develop Generative AI applications using LLMs and modern AI frameworks.- Build RAG-based applications using enterprise data and knowledge sources.- Develop AI agents and agentic workflows for complex enterprise use cases.- Implement model inference, evaluation, optimization, and monitoring pipelines.- Integrate AI models with enterprise applications through APIs and microservices.- Develop NLP, machine learning, and deep learning solutions based on business requirements.- Work with structured and unstructured data for AI applications.- Build prompt engineering, model evaluation, grounding, and retrieval strategies.- Implement vector search, embeddings, semantic search, and knowledge retrieval.- Deploy AI models and applications in scalable production environments.- Optimize model performance, latency, scalability, and infrastructure utilization.- Implement AI application security, governance, monitoring, and observability.- Conduct technical POCs and evaluate new AI models and frameworks.- Collaborate with data engineers, software engineers, architects, and product teams.- Mentor senior engineers and establish engineering best practices.- Troubleshoot complex technical issues across AI applications and https://jobeax.com/link/pNYMYAcVgoA9do1S Skills : - 10-12 years of experience in software engineering, AI/ML engineering, or related technology roles.- Strong proficiency in Python.- Extensive experience with Machine Learning, Deep Learning, NLP, and Generative AI.- Strong hands-on experience with LLMs and LLM-based applications.- Experience with RAG, embeddings, vector databases, prompt engineering, and AI agents.- Experience with AI/ML frameworks and model development libraries.- Strong software engineering fundamentals including APIs, microservices, databases, and distributed systems.- Experience deploying AI solutions into production environments.- Strong understanding of MLOps, model lifecycle, monitoring, and evaluation.- Experience working with cloud-based AI/ML environments.- Strong debugging, architecture, problem-solving, and technical leadership capabilities. (ref:hirist.tech)
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