
Creating Autonomous Systems with Generative AI
1 day ago
Generative AI Engineer
">We are seeking a skilled Generative AI Engineer with expertise in designing and implementing innovative AI solutions. The ideal candidate will combine hands-on experience in AI/ML engineering with the ability to create scalable architectures, implement retrieval-augmented generation (RAG) pipelines, and optimize AI-driven workflows.
">Key Responsibilities:
">- Design and develop AI-powered solutions leveraging Large Language Models (LLMs), RAG pipelines, and AI search frameworks.">
- Build and manage data ingestion pipelines using cloud-based storage services such as Azure Blob Storage.">
- Develop autonomous AI systems with triggered mechanisms and orchestration for automation.">
- Apply best practices for hallucination mitigation and model performance optimization.">
- Collaborate with cross-functional teams to translate business problems into AI-driven solutions.">
Required Skills:
">- Proven expertise in Generative AI architectures (RAG, AI search, autonomous AI).">
- Hands-on experience with cloud-based AI ecosystems (Azure AI ecosystem, OpenAI).">
- Strong knowledge of prompt engineering and orchestration frameworks (LangChain, Semantic Kernel).">
- Ability to design solutions addressing real-world AI challenges like hallucination mitigation.">
- Good understanding of data structures, algorithms, and programming fundamentals (dict operations, multithreading).">
- 4+ Years of experience.">
Good to Have:
">- Experience in cloud-native development (AWS, GCP, or Azure).">
- Familiarity with microservices and API integration for AI solutions.">
- Strong problem-solving mindset with a balance of theoretical and practical knowledge.">
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