We are seeking a Software Engineer to join our team to design, develop, and implement the agentic platform for our proprietary Data Lake tool, JCRSD. This role emphasizes Python-based components and container orchestration with Kubernetes. You will build Model Context Protocol (MCP) servers and a library of reusable "skills" to enable AI agents to safely interact with internal databases, microservices, and external APIs. Collaborate with cross-functional teams to expose Java-based APIs to our AI agents. Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation. Maintain strong testing skills and contribute automated testing pipelines for non-deterministic AI outputs. This hybrid role requires U.S. citizenship and the ability to obtain a government security clearance. Location: Columbia, MD, United States. Qualifications include at least 5 years in software engineering with strong Python backend experience, Kubernetes proficiency, experience integrating commercial LLM APIs or open-source models, knowledge of prompt engineering, agents, function-calling, and RAG, and experience designing APIs and microservices. Familiarity with Git, CI/CD, Docker, Linux, and working in a hybrid environment (1–2 days per week in the Columbia, MD office) is expected. Preferences include active clearances, Java interoperability, Python AI frameworks, vector databases, NiFi, Kafka, cloud infrastructure, SQL/NoSQL databases, and DoD 8140/8570 IAT II as directed. Compensation ranges from $139,000 to $180,000, dependi

We are seeking a Software Engineer to join our team to design, develop, and implement the agentic platform for our proprietary Data Lake tool, JCRSD. This role emphasizes Python-based components and container orchestration with Kubernetes. You will build Model Context Protocol (MCP) servers and a library of reusable "skills" to enable AI agents to safely interact with internal databases, microservices, and external APIs. Collaborate with cross-functional teams to expose Java-based APIs to our AI agents. Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation. Maintain strong testing skills and contribute automated testing pipelines for non-deterministic AI outputs. This hybrid role requires U.S. citizenship and the ability to obtain a government security clearance. Location: Columbia, MD, United States. Qualifications include at least 5 years in software engineering with strong Python backend experience, Kubernetes proficiency, experience integrating commercial LLM APIs or open-source models, knowledge of prompt engineering, agents, function-calling, and RAG, and experience designing APIs and microservices. Familiarity with Git, CI/CD, Docker, Linux, and working in a hybrid environment (1–2 days per week in the Columbia, MD office) is expected. Preferences include active clearances, Java interoperability, Python AI frameworks, vector databases, NiFi, Kafka, cloud infrastructure, SQL/NoSQL databases, and DoD 8140/8570 IAT II as directed. Compensation ranges from $139,000 to $180,000, dependi