Forward Deployed Engineer, U.S. Government at Micro1 – $150,000–$250,000 Salary

Forward Deployed Engineer, U.S. Government at Micro1 – $150,000–$250,000 Salary AQZORA Jobs | Remote & Hybrid AI Engineering Careers 🚀 Job Overview Are you an experienced Python engineer with expertise in Large Language Models (LLMs), AI agents, and data infrastructure? Micro1 is advertising a Forward Deployed Engineer, U.S. Government opportunity for an engineer who can build, deploy, and maintain advanced AI systems supporting high-impact U.S. government missions. This role combines applied AI research, software engineering, infrastructure development, and direct collaboration with government partners. The successful candidate will help turn AI prototypes into reliable, secure, production-ready systems. Important: Although the listing mentions remote work, it also requires relocation to the Washington, D.C. area. Candidates should confirm location, work authorization, and security-clearance requirements before applying. 💼 Job Details Category Details 🏢 Company Micro1 💼 Job Title Forward Deployed Engineer, U.S. Government 📄 Employment Type Full-time 🌍 Work Arrangement Hybrid; remote work with relocation to the D.C. area required 🔢 Advertised Openings 1 💵 Listing Rate $40–$60/hour 💰 Advertised Annual Base Salary $150,000–$250,000 🧠 Required Skills Python, LLM systems, data pipelines, distributed systems 🤖 Industry Artificial Intelligence, Software Engineering, Government Technology Compensation note: The listing displays a rate of $40–$60 per hour and separately states an annual base salary range of $150,000–$250,000, plus potential equity and performance-based bonuses. These figures are presented differently in the source listing, so applicants should confirm the applicable compensation structure directly with Micro1. 📝 Job Description Micro1 is hiring a Forward Deployed Engineer to work on applied AI systems spanning research, production infrastructure, and deployment in high-assurance, mission-critical environments. The engineer will collaborate with strategic government partners to understand operational requirements and translate them into effective technical solutions. The role requires end-to-end ownership of AI systems, from initial discovery and architecture to implementation, deployment, reliability, security, and ongoing improvement. Candidates should be comfortable working independently, solving complex technical problems, and delivering dependable AI systems in demanding environments. 🎯 Key Responsibilities - 🤖 Build and deploy agentic AI systems supporting U.S. government missions. - 🧠 Design and integrate LLM applications, including multi-agent systems, tool-using agents, and Retrieval-Augmented Generation (RAG) workflows. - 🤝 Work directly with government partners to translate mission requirements into technical solutions. - 📊 Build and maintain data curation and evaluation pipelines for model training and improvement. - ⚙️ Develop infrastructure for model inference, experimentation, evaluation, and deployment. - 🔗 Integrate mission data, AI models, and tools into operational systems. - 🔐 Develop and maintain reliable, secure systems for high-assurance environments. - 🛠️ Take ownership of the complete engineering lifecycle, including architecture, implementation, deployment, monitoring, and iteration. 🧑‍💻 Required Skills Applicants should have strong technical experience in the following areas: - Python: Strong software engineering skills and end-to-end project ownership. - LLM systems: Experience building applications powered by large language models. - Agentic AI: Familiarity with AI agents, multi-agent systems, and tool integration. - Data pipelines: Experience building or maintaining data processing and evaluation workflows. - Distributed systems: Understanding of systems that operate across multiple computing resources. - Machine learning infrastructure: Experience supporting model experimentation, inference, or deployment. - Reinforcement learning: Familiarity with RL workflows or simulation environments. - System reliability and security: Ability to work in high-security, high-reliability environments. 🎓 Preferred Qualifications The following qualifications may strengthen an application: - Active U.S. security clearance, or eligibility and willingness to obtain one. - Experience supporting U.S. government, defense, intelligence, or national security projects. - Previous work at a startup, defense organization, or government-focused technology company. - Experience delivering systems in fast-moving startup or mission-critical government environments. - Ability to work independently in ambiguous, partner-facing situations. - Strong communication skills and technical decision-making abilities. 📍 Location and Eligibility This opportunity requires particular attention to the location requirements. - 🏢 Location: Washington, D.C. area. - 🌐 Work arrangement: Hybrid, with relocation required. - 📄 Employment: Full-time. - 🔐 Security: A U.S. security clearance or eligibility to obtain one is preferred. - 🇺🇸 Government projects: Experience with U.S. government or national security work is beneficial. The listing does not establish that applicants from every country are eligible. International candidates should confirm U.S. work authorization, relocation expectations, and any clearance restrictions with the hiring team before applying. 💰 Salary and Benefits The listing states an annual base salary range of $150,000–$250,000. Advertised benefits include: - 💵 Equity compensation for employees. - 🎯 Potential performance-based bonuses, subject to company policies. - 🏥 Up to 100% reimbursement for health-insurance premiums. - 🌴 Paid time off. - 🏦 A 401(k) retirement plan with company matching. - ✨ Additional employee benefits. Actual compensation, eligibility, and benefits depend on the applicable employment terms and company policies. Applicants should verify the details directly with Micro1. Apply NOw