Develop, test, and deployAI and Generative AI applications using programming languages and AI frameworks.
Implementprompt engineering techniques to optimize outputs from large language models.
IntegrateAI services and models into enterprise applications via APIs and SDKs.
Build and maintainRAG and LLM-based solutions for conversational and knowledge-driven use cases.
Collaborate with architects and data scientists onmodel implementation and integration.
Performmodel testing, evaluation, and tuning to improve accuracy, relevance, and performance.
Follow best practices forsecure, scalable, and reliable AI development.
Work with cloud platforms and DevOps pipelines to supportCI/CD for AI workloads.
Document AI solutions, prompts, and integration patterns for reuse and maintainability.
Stay updated on evolving AI tools, frameworks, and enterprise AI practices
Employement Category:
Employement Type: Full timeIndustry: IT - Hardware / NetworkingRole Category: General / Other SoftwareFunctional Area: Not SpecifiedRole/Responsibilies: Generative AI Engineer