> Markdown version of [/jobs/ext/4583867-junior-python-software-engineer-226k-yr](https://www.wearedevelopers.com/jobs/ext/4583867-junior-python-software-engineer-226k-yr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Junior Python Software Engineer [$226k/yr+]

- **Company:** SYSTOLIC, INC.
- **Location:** Columbia, MD, United States (Remote available)
- **Experience:** Starter
- **Salary:** $226,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Automation of Tests, Continuous Integration, Data Cleansing, Python (Programming Language), Linux System Administration, Software Safety, Large Language Models, Backend, Build Management, Data Lakes, Kubernetes, Prompt Injection, Model Context Protocol, Automation Anywhere, Docker, Web Api, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9293687/junior-python-software-engineer-226kyr

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 3+ years
 * Total Compensation: $226k+ yearly

## Description

* Design and build foundational AI integration frameworks and scalable agentic platforms using Python and Kubernetes.
 * Develop Model Context Protocol (MCP) servers and reusable tool-calling libraries to connect autonomous agents with backend services.
 * Integrate enterprise large language models (LLMs) utilizing retrieval-augmented generation (RAG) and automated testing pipelines., * Design, develop, and optimize Python backend components for core agentic platforms and data lake architectures.
 * Deploy, monitor, and scale containerized applications efficiently within Kubernetes environments.
 * Build Model Context Protocol (MCP) servers and function-calling interfaces to interact with internal microservices and external APIs.
 * Implement enterprise AI safety guardrails, including prompt injection defenses, sensitive data scrubbing, and output validation.
 * Collaborate with cross-functional teams to expose APIs and integrate diverse enterprise services into AI workflows.
 * Build automated testing pipelines to evaluate deterministic software logic as well as non-deterministic AI model outputs.
 * Utilize CI/CD pipelines, Docker, and Linux environments to maintain robust software delivery standards.

Telework:
This position supports a hybrid telework arrangement requiring an average of 1-2 days per week on-site in Columbia, MD.