Generative AI Engineer

Trusys is seeking a Generative AI Engineer to design and build reliable, context-aware AI solutions for enterprise systems, particularly in healthcare environments. The role focuses on prompt engineering, LLM application development, agentic AI, retrieval-augmented generation, secure integrations, evaluation, and production operations.

Responsibilities:

• Prompt engineering and optimization: Design, test, and refine system prompts, prompt templates, and few-shot examples to improve response accuracy, relevance, consistency, and instruction following
• Agentic AI development: Build AI agents that support planning, tool use, memory, and multi-step task execution, with appropriate controls for failures and human intervention
• MCP integration: Develop and integrate Model Context Protocol (MCP) servers and tools to enable secure interaction with enterprise APIs, applications, and data sources
• Agent architecture: Design tool-calling workflows, retrieval mechanisms, session memory, and context management strategies
• RAG and knowledge grounding: Implement retrieval-augmented generation workflows, including document processing, embeddings, semantic search, and grounded responses
• Evaluation and testing: Create evaluation datasets and automated tests to measure response quality, retrieval accuracy, task completion, tool selection, and agent reliability
• Security and responsible AI: Implement safeguards against prompt injection, sensitive-data exposure, hallucinations, and unauthorized tool execution
• Production operations: Deploy, monitor, troubleshoot, and improve AI applications, balancing quality, latency, reliability, and cost
• Cross-functional collaboration: Work with product managers, architects, and engineering teams to translate business requirements into practical AI solutions
• Technical documentation: Contribute to architecture reviews, design documentation, and engineering standards