> Markdown version of [/jobs/ext/4591197-mid-level-ai-software-engineer-274k-yr](https://www.wearedevelopers.com/jobs/ext/4591197-mid-level-ai-software-engineer-274k-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). --- # Mid-Level AI Software Engineer [$274k/yr+] - **Company:** SYSTOLIC, INC. - **Location:** Columbia, MD, United States (Remote available) - **Experience:** Experienced - **Salary:** $274,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Automation of Tests, Databases, Python (Programming Language), Open Source Technology, Software Safety, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, Containerization, Kubernetes, Prompt Injection, Virtual Agents, Model Context Protocol, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9293688/mid-level-ai-software-engineer-274kyr ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 9+ years * Total Compensation: $274k+ yearly ## Description * Design and implement foundational AI integration frameworks and scalable agentic platforms. * Build Model Context Protocol (MCP) servers and reusable AI skills to empower autonomous agents. * Develop Python-based backend components and orchestrate containerized deployments with Kubernetes., * Design and develop robust Python backend services and APIs for core agentic AI platforms. * Deploy, monitor, and scale containerized applications efficiently within Kubernetes environments. * Build Model Context Protocol (MCP) servers and reusable tools that allow AI agents to interact with internal services and external APIs. * Implement enterprise AI safety guardrails, including data privacy scrubbing, prompt injection defenses, and output validation. * Integrate commercial and open-source LLMs using modern applied AI techniques such as RAG and function calling. * Develop automated testing pipelines for backend microservices and non-deterministic AI agent outputs. * Coordinate with cross-functional teams to integrate disparate APIs and databases into unified agent workflows. Telework: This position offers a hybrid work arrangement with an average of 1-2 days per week required on-site in Columbia, MD.