●14+ years of overall IT experience with 6+ years in AI/ML engineering
● Strong experience building LLM-based applications and prompt-driven systems
● Solid understanding of RAG architectures and vector databases (Qdrant preferred)
● Hands-on experience with AWS ECS, CloudWatch, and containerized deployments
● Experience working with AWS Bedrock and foundation models
● Strong knowledge of LLM fine-tuning techniques (Full fine-tuning, Instruction tuning, LoRA, QLoRA)
● Experience with AWS RDS (MySQL / MariaDB)
● Understanding of multi-agent systems, AI assistants, and orchestration frameworks
● Proficiency in Python and LLM APIs (OpenAI, Anthropic, or similar)
● Familiarity with React frontend integration and backend API development
● Experience with CI/CD pipelines and Infrastructure as Code (Terraform, AWS CDK)