This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Firestorm, we are building autonomous aerial systems that operate where they are needed most, when they are needed most. Our mission requires speed, ingenuity, and a relentless commitment to engineering excellence. We move fast, test constantly, and deliver capability that performs in the real world, not just in simulation. We are looking for a Lead AI Software Engineer who is excited to build, test, and deliver production-grade AI-enabled software systems. This is a hands-on role, working on end-to-end delivery from early prototypes through hardened deployments. You will potentially lead a small team in the future. This role blends strong software engineering fundamentals with modern AI system development: - Turning ambiguous user intent into reliable, structured outputs - Integrating safely with existing internal systems - Building the validation, observability, and governance required for high-integrity environments This is not a research-only role. You will ship, iterate quickly, and set the technical and execution standard for a team operating under demanding timelines. If you want to build systems that matter, own your work end to end, and be part of a team that values bold thinking grounded in rigorous engineering, Firestorm is the place to do it. Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience) - U.S. Citizenship and the ability to obtain and maintain a U.S. Government security clearance - 8+ years of experience building and shipping production software systems (services, platforms, or distributed systems) - 4+ years of production AI/ML experience, including ownership of real-world reliability, safety, and performance outcomes - Demonstrated experience shipping LLM-enabled applications to production - Experience designing AI evaluation and quality gates - Experience operating AI systems in production - Strong proficiency in Python and at least one backend/systems language (e.g., Go, Java, C++, Rust) - Experience designing and evolving structured interfaces - Experience implementing safety/security controls for AI systems - Proven ability to lead execution in a fast-paced environment while staying highly hands-on - Excellent communication and documentation skills Requirements - Lead hands-on development of AI-enabled software systems from concept to deployment, balancing rapid iteration with engineering rigor - Support end-to-end delivery across product and engineering concerns: requirements intake, decomposition into structured outputs, validation, and release readiness - Build and maintain agentic workflows with clear safety and quality constraints - Define and enforce structured output contracts to reduce brittleness and enable long-term evolution - Establish build and release discipline - Drive operational readiness - Partner with adjacent engineering teams to integrate with existing platforms - Set team execution cadence - Identify high-risk failure modes in AI workflows and ship mitigations - Produce clear technical documentation and decision records Benefits - Comprehensive medical, dental, and vision plans - 401(k) Retirement Savings Plan - Equity grants for new hires - Unlimited PTO - Extremely generous company holiday calendar - Generous Parental Leave - Lifestyle Spending Account - FSA, DCFSA, HSA - Hospital Indemnity insurance - Critical Illness insurance - Accident insurance - Basic Life/AD&D, short-term and long-term disability insurance - Mental Health Resources available 24/7

• Architect compelling solutions utilising all aspects of the Power Platform and the wider Microsoft Ecosystem of Microsoft 365 and Azure. • Manage and complete the discovery, design, build, testing and deployment of solutions utilising the Power Platform and Microsoft Ecosystem. • Seamlessly integrate AI capabilities into business applications, utilising Copilot Studio, Azure AI Foundry and direct API access to different AI providers and models. • Translate editorial and operational needs into scalable, secure, and user-centric system designs. • Leverage large language models and AI-enabled services to design intelligent solutions, and support secure integrations with existing and third-party systems as required. • Lead multiple concurrent AI and automation projects from conception through to production delivery. • Coordinate internal resources, cross-functional teams, and act as the central point of accountability for project success.

• Diseñar, entrenar y optimizar modelos de Machine Learning y Deep Learning para resolver necesidades específicas de negocio • Implementar técnicas de fine-tuning y optimización de modelos generativos y LLMs • Desarrollar soluciones basadas en Retrieval-Augmented Generation (RAG) combinando recuperación de información con generación de contenido • Integrar modelos de IA en aplicaciones mediante APIs RESTful utilizando FastAPI • Diseñar e implementar estrategias de búsqueda semántica utilizando bases de datos vectoriales • Gestionar y optimizar vector databases para consultas de alto rendimiento • Participar en el diseño técnico, revisión de código y evolución de las soluciones de IA

The Opportunity We're looking for a builder who thinks like a product manager and codes like an AI-native developer. Someone who ships revenue-generating systems fast and knows that every internal tool today becomes a client product tomorrow. You'll build AI-powered content systems, RevOps analytics pipelines, and sales intelligence tools. Every system solves a real business problem first—if it works for us, we package it and sell it. That's the AIMS model. If you want to build cool tech demos that don't solve business problems, this isn't for you. If you think in terms of LTV, default to shipping over perfecting, and get excited about turning internal tools into external products, you'll thrive here. If you're curious at heart, genuinely love AI, and light up when you get to build with cutting-edge tools, we should talk. If You Worked Here This Month Built an AI-powered content creation pipeline that produced 47 personalized LinkedIn posts in under 2 hours—then packaged it as "The Content Pod Playbook" deployed across three client accounts Created a RevOps analytics dashboard pulling CRM data via MCP that tracks cost-per-call by lead source across 720 booked calls and flagged a 23% performance drop in one setter before the weekly review Shipped a sales intelligence tool that extracts call transcriptions into a vector database, surfaces the top 5 objections across all client calls, and automatically routes insights to marketing teams—currently processing 150+ calls per week Built a capacity planning dashboard that tracks sales rep availability, identifies coverage gaps 3 days early, and flags which lead sources are falling behind weekly goals What You'll Do Build & Productize: Create AI systems that solve our problems today and become client products tomorrow. Real business value. Ship Fast: Deploy working tools using Claude Code, Cursor, and AI-assisted workflows. Days to production, not weeks to perfection. Own the Infrastructure: Build with MCP servers, RAG pipelines, dashboards, and automated insights that drive business decisions. Bridge Technical & Business: Translate between engineering reality and business needs. Build tools people actually use. Document Everything: Every system becomes a playbook. Every win gets packaged. Every tool gets evaluated for productization. What You Need AI-native development with Claude Code, Cursor, or similar AI-assisted IDEs as your daily driver DevOps fundamentals—Git, CI/CD, containerization, and production discipline MCP server development and connecting AI to real data sources (APIs, databases, CRMs) Vector databases and RAG architecture experience building systems that retrieve and reason over internal data Internal tool building with Streamlit, Next.js, or whatever ships fastest AI security understanding—prompt injection prevention, secrets management, input/output validation Product thinking—you ask "can we sell this?" not just "does it work?" Genuine curiosity—you can name three AI tools you discovered in the last month because you're constantly exploring Bonus: PromptOps experience, orchestration frameworks (LangChain, LangGraph, CrewAI), AI observability tooling (Langfuse, Helicone), experience building tools for marketing/sales operations Who Thrives Here The best people on our team are curious at heart. They genuinely love AI—not as a buzzword, but as a craft they're constantly refining. They're always learning, always experimenting, and naturally excited (not overwhelmed) by how fast this space is moving. They read release notes for fun. They build side projects on weekends. They see every new AI capability as a business opportunity, not just a technical novelty. If that sounds like you, you'll fit right in. What is AIMS? We turn proven RevOps playbooks into AI-powered machines. We're building the operating system for how modern businesses should work. AIMS started from Vendingpreneurs - RevOps systems that generated 1,600+ community members and grew a multi-million dollar portfolio. We asked: "What if we productized these playbooks?" That's exactly what we did. Today, AIMS operates with zero customer acquisition cost. Our client portfolio spans manufacturing, multi-location real estate services, coaching communities, medical services, service-based businesses, and SaaS/retail. What makes us different: - Proven Playbooks: Everything we do has already worked at scale - AI-First: Automation and AI deliver premium results without premium overhead - Built by Operators: We're practitioners, not theorists. We've run these plays ourselves. We're not building another agency. We're building the blueprint for how all agencies should operate in the AI era. Ready to Join? Location: Remote (U.S. preferred for time zone alignment) Employment: Full-Time To Apply: Send your resume and a brief note (3-5 sentences): - The best AI system you've built (with impact metrics) - Why turning internal tools into external products excites you