About Auxi

auxi.ai is an innovative, fast-growing AI technology company headquartered in Boston. We are on a mission to transform how businesses operate by building intelligent, AI-powered tools that streamline workflows, unlock insights, and drive real business value. Our team is composed of passionate engineers, product thinkers, and AI researchers who thrive in a dynamic, high-velocity environment. At auxi.ai, we move fast, think big, and build solutions that matter. We're backed by a deep belief that the future of work is intelligent — and we're building it.

Role Summary

auxi.ai is seeking a highly skilled and driven Software Engineering Manager to lead and grow our engineering team. This is a high-impact leadership role reporting directly to the CEO, working in close partnership with our Product Manager to shape and execute our technical roadmap. You will be responsible for managing a blended US-based and international engineering team, setting coding standards, owning delivery, and ensuring our systems run efficiently and reliably. The ideal candidate thrives in a fast-paced startup environment, has hands-on experience with modern cloud and AI technologies, and is passionate about adopting the latest innovations to keep auxi.ai at the cutting edge.

Your location: Dubai or Lebanon

Responsibilities

Lead, mentor, and manage a distributed engineering team across US and international time zones, fostering a culture of collaboration, accountability, and continuous improvement.
Partner closely with the CEO and Product Manager to translate business goals into clear, executable technical plans and sprint deliverables.
Own the full software development lifecycle — from planning and architecture to deployment and post-launch optimization.
Define and enforce coding standards, best practices, and architectural guidelines across the team to ensure high-quality, maintainable code.
Plan and manage sprint cycles using JIRA, coordinating task allocation, tracking progress, and removing blockers to keep delivery on schedule.
Oversee the team's use of GitHub for version control, code reviews, and CI/CD workflows, ensuring clean branching strategies and robust review processes.
Ensure all production systems are performant, reliable, and resource-efficient — actively monitoring and optimizing for cost, speed, and scalability.
Lead and contribute to the development, fine-tuning, and deployment of Generative AI models, working hands-on with LLMs and ML pipelines.
Continuously evaluate and adopt emerging technologies, frameworks, and AI advancements to keep auxi.ai's platform modern and competitive.
Coordinate cross-functional dependencies between engineering, product, and business stakeholders to ensure smooth execution.
Drive a culture of technical excellence, knowledge sharing, and innovation within the engineering organization.

Required Qualifications

7+ years of software engineering experience, with at least 3 years in an engineering management or tech lead role.
Proven experience working in fast-paced, high-growth startup or technology environments.
Strong proficiency in C# / .NET and Python; ability to review code and provide meaningful technical guidance in both languages.
Hands-on experience with cloud platforms — Microsoft Azure or AWS (or both); familiarity with cloud-native architectures, services, and cost optimization.
Experience with Generative AI, including working with LLMs, model training, fine-tuning, and deploying AI-powered features in production.
Demonstrated ability to manage and lead distributed, international teams effectively across time zones and cultures.
Expertise in Agile/Scrum methodologies; hands-on experience managing sprints and backlogs in JIRA.
Strong command of GitHub workflows including branching strategies, pull request reviews, and CI/CD pipeline management.
Track record of building and maintaining highly performant, resource-efficient production systems.
A proactive mindset toward technology adoption — you stay current with the latest tools, frameworks, and AI research and bring those insights to the team.
Exceptional communication and stakeholder management skills; able to translate technical concepts to non-technical leadership.

Nice to Have

Experience with MLOps platforms and AI/ML deployment pipelines.
Familiarity with vector databases, RAG architectures, or AI agent frameworks.
Prior experience working directly with a CEO or C-suite in a startup setting.
Background in SaaS product development.

What We Offer

Competitive base salary and a strong performance-based bonus component on top.
Direct impact - report to the CEO and shape the company's technical direction.
Health benefits.
Professional development budget and access to the latest AI tools and research.
A collaborative, mission-driven team that moves fast and builds things that matter.