AI Software Engineer II

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Independently implement SaaS features, integrations, APIs, workflow functionalities, automated testing, documentation, and deployment artifacts.

• Execute the complete Software Development Life Cycle (SDLC) utilizing agentic workflows, from clarifying requirements to providing post-release support.

• Create customer-facing AI experiences, intelligent workflows, automation features, retrieval-augmented solutions, and tool-enabled agents.

• Enhance AI-generated outputs through prompt engineering, context management, reusable templates, repository guidance, and automated validation processes.

• Design and uphold automated tests, quality gates, and validation protocols.

• Develop backend services, APIs, platform functionalities, integrations, event-driven architectures, distributed systems, and scalable data processing solutions.

• Manage processing, telemetry, monitoring, compliance, equipment, and operational data for automation, predictive insights, anomaly detection, and decision-making.

• Collaborate with teams in Product Management, Architecture, QA, DevOps, SRE, Security, Support, and Customer Success.

• Engage in technical design discussions and architectural decision-making.

• Enhance engineering workflows, automation, quality, and delivery speed.

• Mentor AI Software Engineer I team members.

• Contribute reusable prompts, templates, workflows, and improvements to engineering harnesses.

• Assist in work order management, preventive maintenance, asset lifecycle management, monitoring, predictive maintenance, environmental compliance, regulatory reporting, and shared platform services.

⛳️ Requirements

• Minimum of 3 years of professional software engineering experience.

• Demonstrated ability to deliver production software in SaaS, cloud, or enterprise software settings.

• Strong proficiency with at least one modern technology stack and adaptability across various languages, frameworks, and platforms.

• Practical experience with AI-assisted development tools such as GitHub Copilot, Copilot CLI, VS Code, Copilot Chat, Cursor, Claude Code, or comparable technologies.

• Experience in designing and developing APIs, backend services, microservices, or distributed systems.

• Familiarity with Microsoft Azure, AWS, or GCP.

• Ability to break down ambiguous requirements into specifications, prompts, implementation plans, tests, and pull requests.

• Experience in designing, developing, and maintaining automated tests and CI/CD pipelines.

• Solid understanding of software quality, observability, secure coding practices, and production support.

• Capability to review, debug, refactor, and validate AI-generated software.

• Excellent communication skills with the ability to articulate technical decisions, trade-offs, risks, and validation evidence.

• Preferred: experience with AI agents, retrieval-augmented applications, event-driven architectures, telemetry/IoT, Docker, Kubernetes, Linux, Bash, and AI evaluation techniques.

• Must ensure a minimum of 4 hours of daily overlap with UK business hours.

🏝️ Benefits

• Access to personal development resources, coaching, and support through Accruent’s “Grow Without Limits” program.

• Flexible working hours to facilitate collaboration across time zones.

• Equal opportunity employer.

• Reasonable accommodations available for applicants with disabilities.