Job Requirements
Remote Annapolis Junction, MD
Clearance Unspecified Polygraph None
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
N/A
Summary:
• Design and implement foundational AI integration frameworks and scalable agentic platforms.
• Build Model Context Protocol (MCP) servers and reusable AI skills to empower autonomous agents.
• Develop Python-based backend components and orchestrate containerized deployments with Kubernetes.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 9+ years
• Total Compensation: $274k+ yearly
Job Description:
• Design and develop robust Python backend services and APIs for core agentic AI platforms.
• Deploy, monitor, and scale containerized applications efficiently within Kubernetes environments.
• Build Model Context Protocol (MCP) servers and reusable tools that allow AI agents to interact with internal services and external APIs.
• Implement enterprise AI safety guardrails, including data privacy scrubbing, prompt injection defenses, and output validation.
• Integrate commercial and open-source LLMs using modern applied AI techniques such as RAG and function calling.
• Develop automated testing pipelines for backend microservices and non-deterministic AI agent outputs.
• Coordinate with cross-functional teams to integrate disparate APIs and databases into unified agent workflows.
Telework:
This position offers a hybrid work arrangement with an average of 1-2 days per week required on-site in Columbia, MD.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Design and implement foundational AI integration frameworks and scalable agentic platforms.
• Build Model Context Protocol (MCP) servers and reusable AI skills to empower autonomous agents.
• Develop Python-based backend components and orchestrate containerized deployments with Kubernetes.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 9+ years
• Total Compensation: $274k+ yearly
Job Description:
• Design and develop robust Python backend services and APIs for core agentic AI platforms.
• Deploy, monitor, and scale containerized applications efficiently within Kubernetes environments.
• Build Model Context Protocol (MCP) servers and reusable tools that allow AI agents to interact with internal services and external APIs.
• Implement enterprise AI safety guardrails, including data privacy scrubbing, prompt injection defenses, and output validation.
• Integrate commercial and open-source LLMs using modern applied AI techniques such as RAG and function calling.
• Develop automated testing pipelines for backend microservices and non-deterministic AI agent outputs.
• Coordinate with cross-functional teams to integrate disparate APIs and databases into unified agent workflows.
Telework:
This position offers a hybrid work arrangement with an average of 1-2 days per week required on-site in Columbia, MD.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119