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 agentic platforms utilizing Python and Kubernetes.
• Build Model Context Protocol (MCP) servers, reusable skills, and enterprise-grade AI guardrails.
• Integrate commercial and open-source large language models with internal services, data lakes, and APIs.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 9+ years
• Total Compensation: $274k+ yearly
Job Description:
• Design, develop, and scale Python-based backend components for autonomous agent platforms.
• Deploy, manage, and scale containerized workloads within Kubernetes environments.
• Build Model Context Protocol (MCP) servers and tools to allow AI agents to securely query databases and microservices.
• Implement enterprise AI guardrails, output validation, sensitive data scrubbing, and prompt injection defenses.
• Build automated testing pipelines for non-deterministic AI outputs and agent workflows.
• Collaborate with cross-functional teams to integrate disparate RESTful APIs and Java-based microservices.
• Provide technical mentorship, code reviews, and leadership across engineering initiatives.
Telework:
This position supports a hybrid telework arrangement, typically requiring one to two days per week on-site.
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 agentic platforms utilizing Python and Kubernetes.
• Build Model Context Protocol (MCP) servers, reusable skills, and enterprise-grade AI guardrails.
• Integrate commercial and open-source large language models with internal services, data lakes, and APIs.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 9+ years
• Total Compensation: $274k+ yearly
Job Description:
• Design, develop, and scale Python-based backend components for autonomous agent platforms.
• Deploy, manage, and scale containerized workloads within Kubernetes environments.
• Build Model Context Protocol (MCP) servers and tools to allow AI agents to securely query databases and microservices.
• Implement enterprise AI guardrails, output validation, sensitive data scrubbing, and prompt injection defenses.
• Build automated testing pipelines for non-deterministic AI outputs and agent workflows.
• Collaborate with cross-functional teams to integrate disparate RESTful APIs and Java-based microservices.
• Provide technical mentorship, code reviews, and leadership across engineering initiatives.
Telework:
This position supports a hybrid telework arrangement, typically requiring one to two days per week on-site.
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