> Markdown version of [/jobs/ext/3869980-hybrid](https://www.wearedevelopers.com/jobs/ext/3869980-hybrid). 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). --- # Hybrid - **Company:** 24-MAG LLC - **Location:** Washington, DC, United States - **Salary:** $83,200.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Big Data, Distributed Systems, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Scripting, Large Language Models, Multi-Agent Systems, Agentic-AI, Build Management, AI Platforms, Data Management, Machine Learning Operations, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/hybrid-dc--4d20fdff-cd7e-49e5-9cad-a798acaa7896 ## About the Role Python Programming/Scripting Language, Software Engineering, Systems Administration/Management, Artificial Intelligence (AI), Data Management, Distributed Computing, Government, Prototyping, Artificial Intelligence (AI) Agents, Data Modeling Tools, We are sharing a full-time opportunity for an experienced technical engineer with strong expertise in Python, LLM systems, agentic AI, data pipelines, distributed systems, and production infrastructure to build and deploy mission-critical AI systems supporting U.S. Government environments., * Strong Python engineering skills with demonstrated end-to-end technical ownership * Experience building production applications using LLMs * Hands-on experience creating agentic or multi-agent AI systems * Experience building or maintaining data pipelines or machine-learning infrastructure * Familiarity with distributed systems and production deployment * Exposure to reinforcement-learning workflows or simulation environments is valuable * Comfortable operating in high-security, high-reliability, or mission-critical environments * Strong ability to work independently in ambiguous, partner-facing situations * Active U.S. security clearance is highly advantageous * Candidates eligible and willing to obtain a U.S. security clearance may also be considered * Experience supporting U.S. Government, defence, intelligence, or national-security missions is preferred * Experience at a startup, defence organisation, government-focused technology company, or comparable fast-moving environment is beneficial ## Description Forward-Deployed AI Engineering * Build and deploy applied AI systems supporting high-impact U.S. Government missions * Work directly with government partners in forward-deployed environments * Translate mission requirements and operational constraints into practical technical systems * Take projects from prototype and experimentation through production deployment * Maintain strong technical and operational ownership in ambiguous partner-facing environments LLM & Agentic Systems * Design and integrate production-grade LLM applications * Build multi-agent systems and tool-using AI agents * Develop retrieval-augmented generation workflows * Implement human-in-the-loop autonomy where appropriate * Turn mission data, models, and tools into reliable operational AI capabilities Data & ML Infrastructure * Build and maintain large-scale data curation pipelines * Develop evaluation infrastructure supporting model training and improvement * Create systems for model inference, experimentation, evaluation, and deployment * Support scalable data and ML workflows across frontier AI platforms * Maintain reliable infrastructure throughout changing mission and model requirements Systems Engineering & Deployment * Own systems across discovery, architecture, implementation, deployment, and iteration * Design for reliability, security, and operational resilience * Work effectively across distributed and mission-critical technical environments * Diagnose system failures and improve performance across the production lifecycle * Apply strong engineering judgement to infrastructure and deployment trade-offs Mission-Critical Technical Ownership * Operate independently in high-security and high-reliability environments * Collaborate with technical, operational, and government stakeholders * Maintain ownership of systems beyond initial implementation * Adapt rapidly as mission requirements, partner needs, and technical constraints evolve * Balance development speed with security, reliability, and operational effectiveness