AI Engineer (LLM & Autonomous Systems)

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