Overview AI Engineer – LLMs, Agentic Workflows & MCP Company: International Logic Systems (ILS)Job Type: Full-timeLocation: Fairfax, VA 22033Work Arrangement: Hybrid – 2 days onsite per week Overview International Logic Systems (ILS) is seeking a skilled AI Engineer to design, develop, and implement next-generation AI solutions using Large Language Models (LLMs), agentic workflows, and Model Context Protocol (MCP)-based integrations. The ideal candidate will have hands-on experience building and deploying AI-powered applications—not just training models—and a strong understanding of how to orchestrate tools, APIs, and data sources into reliable, scalable, and secure AI systems. Location Requirement: Candidates must be local to the Washington, DC metropolitan area and available to work onsite at the ILS headquarters in Fairfax, VA, two days per week. Responsibilities Key Responsibilities • Design, develop, and implement agentic AI systems that can reason, plan, and execute tasks using LLMs. • Implement MCP integrations to connect AI agents with tools, APIs, and enterprise systems. • Develop, deploy, and maintain LLM-powered applications, including AI copilots, conversational systems, and intelligent automation tools. • Build prompt pipelines, tool-calling workflows, and multi-step reasoning systems to support complex business use cases. • Develop backend services using Java (Spring Boot) and/or Python to expose AI capabilities through secure, scalable APIs. • Leverage Spring AI or similar frameworks to integrate LLM capabilities into enterprise applications. • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. • Integrate AI solutions with cloud-native services and platforms, including AWS, Microsoft Azure, and Google Cloud. • Deploy and maintain AI services, ensuring scalability, reliability, security, and performance. • Collaborate with cross-functional teams in an Agile/Scrum environment to deliver AI-powered solutions. • Monitor, evaluate, and optimize AI systems for latency, cost efficiency, accuracy, and output quality. Qualifications Required Qualifications and Skills • Bachelor's degree in Computer Science, Engineering, or a related field. • 5–9 years of professional experience in software engineering, AI engineering, or applied machine learning roles. • Hands-on experience working with LLM APIs to build AI-powered applications. • Experience designing and implementing agent-based workflows and agentic AI systems. • Strong understanding of prompt engineering, tool calling, and structured outputs. • Familiarity with RAG architectures and vector databases. • Experience with MCP or similar standards for integrating AI agents with external tools and enterprise systems. • Experience with at least one major cloud platform and exposure to others, including: • AWS: Lambda, Bedrock, SageMaker, and S3. • Microsoft Azure: Azure OpenAI, Azure Functions, and Cognitive Services. • Google Cloud: Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, and BigQuery. Preferred Skills • Strong programming skills in Python and/or Java. • Experience developing backend services using Spring Boot, including REST APIs and microservices. • Familiarity with Spring AI or similar frameworks for integrating LLM capabilities into Java applications. • Experience with Docker and containerized application deployments. • Basic frontend development experience with React and/or Angular for AI-powered applications. • Experience working in regulated environments, such as government, financial services, or healthcare. Work Conditions • Location: Fairfax, VA 22033. • Work Arrangement: Hybrid, with 2 days onsite per week at the ILS headquarters. • Location Requirement: Must be local to the Washington, DC metropolitan area. • Job Type: Full-time. Equal Opportunity Employer International Logic Systems (ILS) is an Equal Opportunity Employer and complies with applicable federal, state, and local employment laws. ILS is committed to providing equal employment opportunities to all qualified applicants and employees.