Staff Software Engineer, AI-Augmented Enterprise Applications

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Design and develop scalable enterprise SaaS applications and their integrations.

• Spearhead cross-team technical initiatives that involve AI-enabled workflows and operational systems.

• Collaborate closely with product, operations, and customer-facing teams to identify and address real business challenges.

• Seamlessly integrate AI functionalities into enterprise applications in a practical and maintainable manner.

• Contribute to the creation of architectural patterns for APIs, event-driven systems, and microservices.

• Provide mentorship to engineers and elevate the technical standards across teams.

• Utilize AI-augmented engineering workflows to enhance development speed and quality.

• Engage in RFCs, architecture reviews, and discussions regarding broader engineering strategies.

⛳️ Requirements

• Over 8 years of experience in developing enterprise SaaS applications or large-scale business systems.

• Proficient in backend and full-stack engineering.

• Experienced in designing APIs, microservices, integrations, and event-driven architectures.

• Strong grasp of system design, scalability, and operational reliability.

• Background in creating customer-facing enterprise workflows and operational tools.

• Familiarity with CRM or enterprise workflow systems such as Salesforce, Dynamics, HubSpot, or similar platforms.

• Understanding of customer lifecycle workflows, including sales, onboarding, service, support, and communications.

• Experience integrating enterprise SaaS platforms via APIs, events, or middleware systems.

• Proficient in using AI-assisted software engineering tools and workflows in production settings.

• Practical knowledge of how AI can enhance software delivery, automation, and customer experiences.

• Familiarity with modern AI platforms, orchestration frameworks, or LLM-based workflows is advantageous.

• Ability to assess build versus buy decisions concerning AI tooling and enterprise capabilities.

• Strong communication skills when engaging with both technical and non-technical stakeholders.

• Proven capability to lead initiatives across teams through influence and credibility.

• Comfortable mentoring engineers and assisting teams in navigating ambiguity.

• A structured thinker who can simplify complex systems and workflows.

• A builder’s mindset focused on outcomes, customer value, and long-term system quality.

• Believes that AI enhances strong engineering fundamentals rather than replaces them.

• Curious and oriented towards learning, with a robust systems thinking ability.

• Collaborative, humble, and highly dependable.

• Values craftsmanship, clarity, and thoughtful decision-making.

🏝️ Benefits

• Competitive salary

• Flexible working environment

• Professional development opportunities

• Health insurance

• Retirement plan