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# Python Software Engineer [$224k/yr+] S

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $224,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Automation of Tests, Microsoft Azure, Continuous Integration, Data Cleansing, Linux, Distributed Data Store, Spring Framework, Python (Programming Language), PostgreSQL, Linux Commands, MySQL, NoSQL, Operational Databases, OpenAI, Software Engineering, SQL Databases, Cloud Platform System, LangChain, Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Backend, Agentic-AI, Git, Containerization, Kubernetes, Infrastructure Automation Frameworks, CrewAI, AutoGen, Apache Kafka, Apache Nifi, Machine Learning Operations, Prompt Injection, Invoking Functions, Artificial Intelligence Governance, Restful APIs, Model Context Protocol, Docker, Web Api, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9210572/python-software-engineer-224kyr-s

## About the Role

* At least 5 years of experience in Software Engineering with a strong focus on Python backend development and a Bachelor's degree in a related field (or equivalent combination of education and experience).

## Description

* Senior Software Engineer position for AI integration and agentic platform development.
 * Focuses on Python backend development, Kubernetes container orchestration, and applied AI integration using LLMs, Model Context Protocol (MCP), and Retrieval-Augmented Generation (RAG).
 * Utilizes additional technologies including Java, Spring, Git, Docker, Linux, LangChain, NiFi, Kafka, AWS, Azure, SQL, PostgreSQL, and MySQL., * Design and develop Python-based components for a core agentic platform.
 * Deploy, manage, and scale applications within Kubernetes (K8s) environments.
 * Build Model Context Protocol (MCP) servers and a library of reusable skills (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs.
 * Collaborate with cross-functional teams to help them expose their Java-based APIs to AI agents.
 * Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation.
 * Maintain strong testing skills, including automated testing pipelines for non-deterministic AI outputs.
 * Integrate commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into production backend applications.
 * Apply modern AI concepts such as prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG).
 * Design enterprise APIs, RESTful web services, and Microservices architecture.
 * Utilize configuration management tools including Git, CI/CD pipelines, and Docker.
 * Work comfortably on a Linux command line.
 * Assist teams in connecting components to the agent platform using Java frameworks (e.g., Spring).
 * Utilize Python-based AI integration frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen).
 * Work with Vector Databases, semantic caching, AI observability tools, NiFi, Kafka, and cloud-based infrastructure (AWS, Azure).
 * Work with SQL databases (e.g., Postgres, MySQL), distributed databases, or NoSQL databases.
 * Maintain DoD 8140 / 8570 IAT Level II compliance certifications if required.
 * Must be able to obtain and maintain a U.S. Government Security Clearance, with active Secret or Top Secret clearance preferred.

Telework:
This position supports a hybrid work arrangement, requiring an average of 1-2 days per week in the office.