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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Adaptive - **Company:** Miovision Technologies LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Automation of Tests, Big Data, C Sharp (Programming Language), Cloud Computing, Code Generation, Software Debugging, Distributed Systems, Python (Programming Language), Linux System Administration, Machine Learning, Software Maintenance, Smart Devices, Software Engineering, TypeScript, Agentic-AI, Git, Kotlin, Event Driven Architecture, Information Technology, Real Time Data, Automation Anywhere, Programming Languages - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pou6zjy2s8 ## About the Role Experience And Mindset * Proven Experience: Extensive professional software engineering experience delivering complex, scalable production systems (8+ years preferred but not required with equivalent demonstrated capability). * Product Delivery and Autonomous Decision-Making: Proven track record of building customer-facing products and making sound, high-judgment engineering decisions in fast-paced environments with incomplete or evolving information. * Continuous Innovation and Quality: Curious, adaptable, and eager to challenge legacy software development norms while upholding a strict commitment to engineering excellence. * Communication: Outstanding ability to articulate technical assumptions, trade-offs, and risks clearly to both technical and business stakeholders. AI Proficiency and Modern Workflows * Practical AI Execution: Demonstrated experience using frontier AI models, modern AI coding tools, or AI agents to significantly accelerate development speed, quality, or scope. * Context Structuring: Ability to break down architecture and context effectively so AI tools produce verifiable, maintainable code. Technical Domain and Core Fundamentals * Software Engineering Fundamentals: Strong foundation in system design, debugging, testing, reliability, security, maintainability, and production operations. * Distributed Architecture: Experience with distributed systems, event-driven architectures, APIs, data-intensive applications, and cloud/connected device platforms. * Language Agnostic: Ability to become effective quickly in an unfamiliar technical stack or business domain, reasoning about code across multiple modern languages (e.g., Java, Kotlin, C#, TypeScript, Python). Specific stack experience is secondary to adaptability and ability to learn. * Engineering Practices: Familiarity with Git, containers, CI/CD pipelines, Linux-based systems, observability, and production troubleshooting. * Communication: Outstanding ability to articulate technical assumptions, trade-offs, and risks clearly to both technical and business stakeholders. * Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience) is an asset. ## Description We Are Looking For An Experienced, AI-first Senior Software Engineer To Join Our Adaptive Team. Our Adaptive Product Operates At The Cutting Edge Of Real-time Traffic Signal Optimization, Adjusting Signal Timings Second-by-second To Manage Physical Vehicle Flow At Intersections. This Work Spans Traffic Operations, Field Devices, Distributed Systems, And Real-time Data Under High Domain Ambiguity. Rather Than Looking For Specific Programming Languages Or Frameworks, We Value Engineers Who Can * Rapidly acquire domain context and ask the right questions. * Leverage AI tools and agentic workflows. * Navigate complex, ambiguous problems to build reliable production outcomes. This is a hands-on product engineering role, not an AI research or model-development position. You will take complete ownership of ambiguous problems and establish AI-enabled software practices that shape how engineering is done across Miovision. Objectives and Responsibilities Rapid Context Building & Problem Solving * Rapidly build deep context across domain concepts, customer needs, real-time traffic operations, edge devices, distributed system architecture, and legacy codebase. * Translate ambiguous, incomplete requirements or complex system failures into clear problem definitions, technical designs, working prototypes, and production software. AI-First Execution & Agentic Workflows * Utilize AI tools and agentic workflows as a primary part of day-to-day software delivery, including system exploration, design, implementation, automated testing, debugging, and production operations. * Break complex initiatives into structured work that can be executed effectively by both engineers and AI agents. * Provide clear context, constraints, guardrails, and evaluation criteria to guide AI-assisted coding tools toward accurate and verifiable outputs. System Engineering & Production Delivery * Design, build, test, deploy, and operate reliable, scalable, secure, and maintainable software across distributed systems and connected infrastructure. * Move fluidly across unfamiliar tech stacks, services, and languages whenever a problem demands it. * Critically review and evaluate AI-generated code and designs, taking ultimate accountability for overall system quality, security, and performance. * Use prototypes and short feedback loops to reduce uncertainty before committing to larger technical investments. * Make pragmatic trade-offs between customer value, delivery speed, reliability, security, cost, and long-term maintainability. Collaboration & Engineering Excellence * Partner closely with Product, Architecture, QA, Cloud, Customer Support, customers, and other engineers to connect technical work to measurable outcomes. * Create supporting documentation, test suites, guardrails, and observability tools to make AI-assisted development safe and repeatable. * Share effective AI workflows, mentor other engineers, and help define how AI-first engineering should operate across Miovision., _Miovision may use artificial intelligence (AI) to assist in the hiring process for tasks such as helping to identify qualified candidates, taking meeting notes, creating summaries, and streamlining administrative work. These tools are one of several factors considered in the hiring process and do not replace human judgement. We do not use AI to make any final hiring or interview decisions.