remote
Senior Systems Engineer - Esimplicity
Systems Engineer
Senior Systems Engineer leading the design, development, and deployment of agentic AI systems using advanced LLMs and Model Context Protocol on AWS, driving intelligent solutions for federal agencies.
About the role
Key Responsibilities
- Architect and build agentic AI systems powered by large language models (LLMs) and Model Context Protocol (MCP) frameworks.
- Develop scalable, production‑ready services in Python and Node.js, integrating with AWS services such as SageMaker, Lambda, and DynamoDB.
- Collaborate with data scientists and product teams to translate business requirements into robust AI solutions.
- Implement CI/CD pipelines, automated testing, and monitoring to ensure high availability and security.
- Document system designs, API contracts, and best practices for future maintenance and knowledge transfer.
Requirements
- 5+ years of experience in software engineering with a focus on AI/ML systems.
- Proficiency in Python, Node.js, and AWS cloud architecture.
- Hands‑on experience with LLMs (e.g., GPT, LLaMA) and MCP or similar context‑management frameworks.
- Strong understanding of data pipelines, model deployment, and performance optimization.
- Excellent communication skills and ability to work in a collaborative, fast‑paced environment.
Skills
pythonnodejsmachine learningawsllm