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Valsoft

Acquires, grows vertical market software companies

AI Automation Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBeirut, LebanonNo salary listed

About the Job

Requirements

  • A proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value.
  • Strong working knowledge of artificial intelligence and machine learning tools, large language models, and agent frameworks.
  • Experience building AI agents, workflow automations, or AI-powered internal tools.
  • Experience designing or improving workflows across software or product delivery lifecycles, including using AI tools, agents, or automations to improve speed, quality, and operational leverage.
  • Ability to go from zero to a functional prototype quickly.
  • Strong systems thinking and comfort working across tools, processes, and teams.
  • Comfort with ambiguity and the ability to help define the problem as well as the solution.
  • Bias toward action, with discipline around quality, evaluation, and operational safety.
  • Ability to work directly with business stakeholders and translate operational pain points into practical AI solutions.

Responsibilities

  • Design and deploy AI agents that support operational work, including support triage, internal workflow automation, sales support, onboarding tasks, knowledge handling, reporting, and analysis.
  • Build agents and workflows that integrate with customer relationship management (CRM), enterprise resource planning (ERP), internal tools, software-as-a-service platforms, and application programming interfaces (APIs).
  • Use multi-step workflows, tool-using agents, decision logic, and orchestration patterns where appropriate.
  • Move from idea to pilot to production quickly while maintaining clear standards for quality and reliability.
  • Design and implement AI agents and workflow automations that support product development lifecycle (PDLC) activities such as requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support, and post-release analysis.
  • Identify manual or repetitive PDLC tasks and convert them into scalable AI-assisted workflows, including integrations with tools such as Jira, Confluence, GitHub, service platforms, and internal systems.
  • Partner with Product, Engineering, Quality Assurance (QA), Support, and other stakeholders to pilot, refine, and scale agentic PDLC workflows across teams.
  • Identify high-value automation opportunities with functional leaders and operators.
  • Redesign workflows so repetitive and rules-based work is handled by AI wherever safe and practical.
  • Support the shift to AI-first intake, triage, knowledge retrieval, simple response handling, and case preparation in service operations.
  • Help teams redesign work around a clear division of labor between people and agents.
  • Help establish safe and scalable standards for AI use across the PDLC, including review points, escalation paths, auditability, fallback handling, and quality controls for AI-generated artifacts.
  • Work within approved tooling standards, data and security guardrails, and design standards for agents and evaluation.
  • Establish monitoring, fallback handling, escalation logic, prompt and workflow controls, and human review mechanisms.
  • Test workflows with real users and operational scenarios before scaling.
  • Measure agent quality, workflow success, containment, handoff quality, and operational value.
  • Continuously improve workflows based on usage data, user feedback, and service outcomes.
  • Partner with functional leaders and frontline teams to support rollout and adoption.
  • Document new ways of working and help train users on how to work effectively with AI agents.
  • Surface workflow risks, resistance points, and improvement opportunities.
  • Contribute reusable prompts, components, patterns, and playbooks to the central AI capability.
  • Collaborate with Product, Engineering, Support, Sales, and Professional Services teams.
  • Help prioritize use cases based on measurable business value, feasibility, and operational readiness.
  • Support the central AI capability with value tracking, reporting, and continuous learning across initiatives.

Desired Qualifications

  • Experience building AI agents or service automation workflows.
  • Experience in hospitality, retail, vertical software-as-a-service, or business-to-business software environments.
  • Experience working across multiple product lines, business units, or operational functions.
  • Familiarity with support operations, customer relationship management (CRM) workflows, or Professional Services delivery models.
  • Experience with analytics, reporting, and operational performance measurement.
  • A bachelor's degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering, or a related discipline.

About the Company

Valsoft

Acquires, grows vertical market software companies

Valsoft is a company that buys software businesses that serve specific, essential industries (like automotive and broadcasting) and helps them grow over the long term. It focuses on vertical market software—programs that are built for a particular industry—and keeps the acquired companies independent while giving them extra resources, best practices, and access to a global network. The core idea is to improve how these software businesses operate and expand their reach, rather than building new products from scratch. The main way Valsoft works is to purchase a niche software company, streamline its operations, and partner with the existing management team to drive steady growth. This approach sets Valsoft apart from others by emphasizing patient, long-term ownership and collaboration within a diverse portfolio of niche software. The goal is to create durable, profitable companies that continue to serve their essential customers efficiently and expand into new markets.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$420M
Headquarters
Montreal, Canada
Founded
2015

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