Job Description
Key Responsibilities
- Design and implement scalable AI/ML and Generative AI architectures for enterprise applications.
- Develop LLM-powered applications, autonomous AI agents, and multi-agent orchestration systems.
- Architect state management and persistent memory systems for long-running AI workflows.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
- Lead the evaluation, selection, and implementation of AI technologies, frameworks, and infrastructure.
- Collaborate with stakeholders to define business requirements and convert them into technical solutions.
- Design and implement AI evaluation, observability, and monitoring frameworks.
- Develop scalable APIs, microservices, and distributed AI systems.
- Deploy and manage AI solutions on cloud platforms, primarily AWS.
- Implement MLOps/LLMOps practices for model lifecycl...