Lead Gen AI Engineer
14 hours ago
Lead Gen AI Engineer:
- 8+ years of experience in software/data architecture with 3+ years in AI/ML, including hands-on work with generative AI solutions.
- Proven experience designing and deploying AI workflows using:
- AWS: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch.
- Azure: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search.
- Expertise in RAG pipeline architecture, prompt engineering, and vector database design.
- Familiarity with tools and frameworks for AI agent orchestration (e.g., LangChain, Semantic Kernel, AWS Agent Framework).
- Strong understanding of cloud security, identity management (IAM, RBAC), and compliance in enterprise environments.
- Proficiency in Python and hands-on experience with modern ML libraries and APIs used in AWS and Azure.
Preferred Qualifications:
- Experience working with LLMOps tools in cloud environments (e.g., model monitoring, logging, performance tracking)
- Understanding of fine-tuning strategies, model evaluation, and safety/risk management of GenAI models.
- Familiarity with serverless architecture, containerization (ECS, AKS), and CI/CD practices in AWS/Azure.
- Ability to translate business problems into scalable AI solutions with measurable outcomes.
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