Senior AI-First Software Engineer - Real-Time Traffic

Openkrill; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health benefits

RRSP/401K Matching Plan

Mio-Days and flexible vacation

Remote work allowance

Job summary

Miovision is seeking an experienced, AI-first Senior Software Engineer to join our Adaptive team. This role focuses on real-time traffic signal optimization, spanning traffic operations, edge devices, distributed systems, and real-time data.

You will own ambiguous problems, establish AI-enabled software practices, and shape engineering across the company. The ideal candidate demonstrates extensive software engineering experience, the ability to work across unfamiliar tech stacks, and a strong

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

Software engineering

AI tools

Distributed systems

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Tools

Git

Containers

CI/CD

Linux

Observability

Job description

Miovision is seeking an experienced, AI-first Senior Software Engineer to join our Adaptive team. This role focuses on real-time traffic signal optimization, spanning traffic operations, edge devices, distributed systems, and real-time data.

You will own ambiguous problems, establish AI-enabled software practices, and shape engineering across the company. The ideal candidate demonstrates extensive software engineering experience, the ability to work across unfamiliar tech stacks, and a strong