> Markdown version of [/jobs/ext/4585110-senior-python-ai-software-engineer-323k-yr](https://www.wearedevelopers.com/jobs/ext/4585110-senior-python-ai-software-engineer-323k-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).

---

# Senior Python AI Software Engineer [$323k/yr+]

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $323,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Data Cleansing, Python (Programming Language), Large Language Models, Backend, Agentic-AI, Kubernetes, Integration Frameworks, Prompt Injection, Artificial Intelligence Governance, Restful APIs, Model Context Protocol, Api Management, Service Stack, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9293686/senior-python-ai-software-engineer-323kyr

## About the Role

* Degree: Technical master's degree or equivalent experience
 * Years of experience: 14+ years
 * Total Compensation: $323k+ yearly

## Description

* Architect and implement agentic AI platforms, Model Context Protocol (MCP) servers, and scalable integration frameworks using Python and Kubernetes.
 * Integrate large language models (LLMs) and enterprise APIs into backend services leveraging retrieval-augmented generation (RAG) and function-calling capabilities.
 * Develop automated testing pipelines, robust safety guardrails, and data sanitization protocols for production AI systems., * Design and develop core Python-based backend components and agentic workflows.
 * Deploy, manage, and scale containerized applications efficiently within Kubernetes environments.
 * Build Model Context Protocol (MCP) servers and reusable skill libraries enabling AI agents to interact with internal and external services.
 * Implement enterprise AI guardrails, sensitive data scrubbing, prompt injection defenses, and output validation.
 * Design RESTful web services, microservices architectures, and API integrations across diverse technology stacks.
 * Establish automated testing pipelines and observability mechanisms tailored for non-deterministic AI outputs.

Telework:
A hybrid work arrangement is supported, requiring an average of 1-2 days per week on-site.