International Logic Systems, Inc. is seeking an AI Engineer to design and deploy LLM-driven solutions, agentic workflows, and MCP-based integrations.

Design, build, and implement agentic AI systems using LLMs for reasoning, planning, and task execution
Develop MCP integrations to connect AI agents with tools, APIs, and enterprise systems
Build, deploy, and maintain LLM-powered applications, including AI copilots, conversational systems, and intelligent automation tools
Create prompt pipelines, tool-calling workflows, and multi-step reasoning systems for complex business use cases
Develop backend services in Java (Spring Boot) and/or Python to expose AI capabilities through secure, scalable APIs
Use 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 across AWS, Microsoft Azure, and Google Cloud
Deploy and maintain AI services with focus on 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

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
Hands-on experience building AI-powered applications with LLM APIs
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, plus exposure to others:
- AWS (Lambda, Bedrock, SageMaker, S3)
- Microsoft Azure (Azure OpenAI, Azure Functions, Cognitive Services)
- Google Cloud (Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery)

LLMs, Model Context Protocol (MCP)
Java, Spring Boot, Python, Spring AI
Retrieval-Augmented Generation (RAG), vector databases
AWS: Lambda, Bedrock, SageMaker, S3
Microsoft Azure: Azure OpenAI, Azure Functions, Cognitive Services
Google Cloud: Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery
Docker, React, Angular
REST APIs, microservices

Strong programming skills in Python and/or Java
Experience developing backend services with Spring Boot, 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

Location: Fairfax, VA 22033 (local to the Washington, DC metropolitan area)
Work arrangement: Hybrid, with 2 days onsite per week at the ILS headquarters
Job type: Full-time

AI Engineer – LLMs, Agentic Workflows & MCP

Job Description