CrowdPlat is seeking a skilled AI Engineer to design and develop next-generation AI-powered solutions, including autonomous workflows and intelligent systems. This role focuses on building LLM-driven applications and improving automation and operational efficiency.
Responsibilities:
- Design and build AI-driven applications, including autonomous agents and multi-step workflows
- Develop and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases
- Implement agentic frameworks for task automation and decision support
- Integrate large language models (LLMs) via APIs (OpenAI, Azure AI, Hugging Face)
- Apply advanced prompt engineering and context management techniques
- Optimize model performance, token usage, and cost efficiency
- Design scalable and secure AI architectures for enterprise environments
- Implement Model Context Protocol (MCP) or similar frameworks for structured data access
- Support multi-agent orchestration and distributed AI workflows
- Implement AI guardrails, content filtering, and safety controls
- Ensure compliance with data privacy standards (PII/PHI handling)
- Support model lifecycle management, evaluation, and monitoring
- Work closely with developers, UX designers, and business analysts
- Participate in design, development, testing, and deployment cycles
- Contribute to best practices for enterprise AI adoption