AI Engineer
INTERNATIONAL LOGIC SYSTEMS, INC.
Overview AI Engineer - required onsite (hybrid) in Fairfax, VA Overview ILS Inc. is seeking an AI Engineer to design and implement next-generation AI solutions using large language models (LLMs), agentic workflows, and Model Context Protocol (MCP)-based integrations. The ideal candidate has hands-on experience building AI-powered applications (not just training models) and understands how to orchestrate tools, APIs, and data sources into reliable systems.
MUST BE LOCAL TO DC METRO AREA (hybrid support - 2 days in ILS HQ office, located in Fairfax, VA 22033 Responsibilities Responsibilities
MUST BE LOCAL TO DC METRO AREA (hybrid support - 2 days in ILS HQ office, located in Fairfax, VA 22033 Responsibilities Responsibilities
- Design and build agentic AI systems that can reason, plan, and execute tasks using LLMs.
- Implement integrations using Model Context Protocol (MCP) to connect AI agents with tools, APIs, and enterprise systems.
- Develop and maintain LLM-powered applications (e.g., copilots, chat systems, automation tools).
- Build prompt pipelines, tool-calling workflows, and multi-step reasoning systems.
- Develop backend services using Java (Spring Boot) and/or Python to expose AI capabilities via APIs.
- Leverage Spring AI or similar frameworks to integrate LLMs into enterprise applications.
- Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Integrate AI solutions with cloud-native services such as AWS, Azure, and Google Cloud.
- Deploy AI services and ensure scalability, reliability, and performance.
- Collaborate with cross-functional teams in an Agile/Scrum environment.
- Monitor and optimize AI systems for latency, cost, and output quality.
- Bachelor's degree in computer science, Engineering, or related field.
- 5-9 years of professional experience in software engineering, AI engineering, or applied ML roles.
- Hands-on experience with LLM APIs.
- Experience building agent-based workflows.
- Understanding of prompt engineering, tool usage, and structured outputs.
- Familiarity with RAG architectures and vector databases.
- Experience with Model Context Protocol (MCP) or similar integration standards.
- Experience working with at least one cloud platform and exposure to others:
- AWS (Lambda, Bedrock, SageMaker, S3)
- Azure (Azure OpenAI, Functions, Cognitive Services)
- Google Cloud (Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery)
- Strong programming skills in Python and/or Java.
- Experience building backend services using Spring Boot (REST APIs, microservices).
- Exposure to Spring AI or similar frameworks for integrating LLMs into Java applications.
- Experience with Docker and containerized deployments.
- Basic frontend experience (React, Angular) for AI-driven applications.
- Experience working in regulated environments (government, finance, healthcare).
Vacancy posted 10 hours ago
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