Job Title: AI Engineer Location: Hybrid in Woonsocket, RI or Scottsdale, AZ Duration: 12 Months
*Local candidates preferred*
AI Prompt Engineer / Agentic AI Engineer Role Summary
The resource will support the design, development, and delivery of Agentic AI solutions by creating, optimizing, and managing AI prompts, agent workflows, and MCP-integrated tools. The role will focus on enabling intelligent AI agents capable of autonomous reasoning, task orchestration, tool utilization, and workflow execution across enterprise applications.
Key Responsibilities • Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and business outcomes. • Build and configure Agentic AI solutions that leverage planning, reasoning, memory, and multi-step task execution capabilities. • Develop and integrate MCP (Model Context Protocol) tools, enabling AI agents to securely discover and interact with enterprise systems, APIs, and data sources. • Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies. • Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions. • Implement Retrieval-Augmented Generation (RAG), knowledge grounding, and context orchestration patterns. • Define evaluation frameworks and prompt testing methodologies to measure agent performance, quality, and reliability. • Ensure AI solutions adhere to security, compliance, governance, and responsible AI standards. • Support deployment, monitoring, troubleshooting, and continuous improvement of AI agents and MCP-enabled workflows. • Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms.
Required Skills • Experience with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent). • Strong understanding of prompt engineering, AI agent frameworks, and conversational AI systems. • Experience building Agentic AI applications using Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks. • Hands-on experience with MCP servers, tool integration, API orchestration, and enterprise system connectivity. • Proficiency in Python, TypeScript, or similar programming languages. • Familiarity with RAG architectures, vector databases, embeddings, and knowledge retrieval systems. • Understanding of cloud platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI. • Strong problem-solving, analytical, and collaboration skills.
Preferred Qualifications • Experience building enterprise copilots, AI assistants, or autonomous agent ecosystems. • Knowledge of AI governance, responsible AI, and security best practices. • Experience integrating AI agents with healthcare, health records, or regulated industry systems.
Years of Experience: 10.00 Years of Experience
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is $47.00/hr.
