Job Requirements
Remote Annapolis Junction, MD
Top Secret/SCI Polygraph None
Early Career (2+ yrs experience)
Salary not specified
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Job Description
N/A
Summary: • Design and implement foundational agentic AI platforms and integration frameworks using Python and Kubernetes. • Build Model Context Protocol (MCP) servers, integrate large language models, and deploy enterprise-grade safety guardrails. • Orchestrate containerized microservices and collaborate on system integrations across distributed data and cloud environments. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 3+ years • Total Compensation: $224k+ yearly Job Description: • Design and develop scalable Python-based backend components for autonomous agent platforms. • Deploy, manage, and scale containerized applications efficiently within Kubernetes environments. • Construct Model Context Protocol (MCP) servers and reusable tool-calling libraries to interface with APIs and microservices. • Implement strict AI safety guardrails, including prompt injection defenses, data scrubbing, and output validation pipelines. • Collaborate across engineering teams to expose and integrate services and databases with AI agents. • Develop automated testing pipelines tailored for non-deterministic AI outputs and enterprise workflows. • Utilize modern CI/CD pipelines, Git, and Linux environments to maintain robust software delivery standards.
Telework:
This position supports a hybrid schedule requiring an average of 1-2 days per week 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 agentic AI platforms and integration frameworks using Python and Kubernetes. • Build Model Context Protocol (MCP) servers, integrate large language models, and deploy enterprise-grade safety guardrails. • Orchestrate containerized microservices and collaborate on system integrations across distributed data and cloud environments. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 3+ years • Total Compensation: $224k+ yearly Job Description: • Design and develop scalable Python-based backend components for autonomous agent platforms. • Deploy, manage, and scale containerized applications efficiently within Kubernetes environments. • Construct Model Context Protocol (MCP) servers and reusable tool-calling libraries to interface with APIs and microservices. • Implement strict AI safety guardrails, including prompt injection defenses, data scrubbing, and output validation pipelines. • Collaborate across engineering teams to expose and integrate services and databases with AI agents. • Develop automated testing pipelines tailored for non-deterministic AI outputs and enterprise workflows. • Utilize modern CI/CD pipelines, Git, and Linux environments to maintain robust software delivery standards.
Telework:
This position supports a hybrid schedule requiring an average of 1-2 days per week 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