Senior AI Developer

Aspire Software

. Design and deploy AI agents supporting support triage, internal workflow automation, sales support, onboarding, knowledge handling, reporting and analysis .

Posted 10/17/2026full-timeBeirut • LebanonSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents and workflow automations to enhance operational efficiency and product delivery. Proficient in integrating AI tools with CRM, ERP, and SaaS platforms while ensuring quality and reliability standards.

Highest-signal resume keywords

AI And Machine Learning ToolsWorkflow Automation DesignAI Agent DevelopmentSystems ThinkingProduct Delivery Lifecycle Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentWorkflow AutomationLarge Language ModelsDecision LogicOrchestration PatternsTechnical ResearchCode GenerationTest GenerationDefect TriageRelease Support

Soft Skills

Comfort With AmbiguityBias Toward ActionCollaborationStakeholder EngagementProblem Definition

Tools & Technologies

JiraConfluenceGitHubCRM PlatformsERP SystemsSaaS PlatformsInternal ToolsService PlatformsAPIsMonitoring Tools

Certifications & Qualifications

Bachelor’s Degree In Artificial IntelligenceBachelor’s Degree In Software EngineeringBachelor’s Degree In Computer ScienceBachelor’s Degree In RoboticsBachelor’s Degree In Mechanical Engineering

Industry Keywords

HospitalityRetailVertical SaaSB2B SoftwareSupport OperationsProfessional Services DeliveryOperational Performance MeasurementContinuous ImprovementQuality ControlOperational Safety

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Design and deploy AI agents supporting support triage, internal workflow automation, sales support, onboarding, knowledge handling, reporting and analysis
Build agents and workflows integrating with CRM, ERP, internal tools, SaaS platforms and APIs
Use multi-step workflows, tool-using agents, decision logic and orchestration patterns
Move ideas from pilot to production while maintaining quality and reliability standards
Design AI agents and workflow automations for PDLC activities including requirements drafting, backlog preparation, technical research, code generation, test generation, documentation, defect triage, release support and post-release analysis
Convert repetitive PDLC tasks into scalable AI-assisted workflows using Jira, Confluence, GitHub, service platforms and internal systems
Partner with Product, Engineering, QA, Support and other stakeholders to pilot, refine and scale agentic PDLC workflows
Identify and redesign high-value business workflow automation opportunities
Support AI-first intake, triage, knowledge retrieval, response handling and case preparation in service operations
Establish human-agent division of labour and safe AI-use standards, including review points, escalation paths, auditability, fallback handling and quality controls
Work within approved tooling, data, security and agent evaluation standards
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, feedback and service outcomes
Support rollout and adoption, document new ways of working and train users
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
Prioritize use cases based on business value, feasibility and operational readiness
Support value tracking, reporting and continuous learning across initiatives
Improve manual effort, process cycle time, support response times, workflow completion quality, ticket containment, user adoption, team capacity and Product/Engineering delivery outcomes

Requirements

What you’ll need

Proven track record of building products, tools, workflows, automations, startups, or side projects that went live and delivered measurable value
Strong working knowledge of AI 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 the use of AI tools, agents, or automations to improve speed, quality, and operational leverage
Ability to go from zero to 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
Nice to have: Experience building AI agents or service automation workflows
Nice to have: Experience in hospitality, retail, vertical SaaS, or B2B software environments
Nice to have: Experience working across multiple product lines, business units or operational functions
Nice to have: Familiarity with support operations, CRM workflows, or Professional Services delivery models
Nice to have: Experience with analytics, reporting and operational performance measurement
Nice to have: A bachelor’s degree in Artificial Intelligence, Software Engineering, Computer Science, Robotics, Mechanical Engineering or a related discipline