AI Developer - H&L at Valsoft Corporation

Beirut, Beirut Governorate, Lebanon -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Engineering, Agentic Product Development, Frontend Development, Backend Services, RESTful APIs, Data Modeling, AWS, Docker, CI/CD, Automated Testing, React, Angular, TypeScript, Node.js, Architecture, Security

Industry

Financial Services

Description

Aspire Software is looking for a AI Product Engineer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the job: The AI Product Engineer is an AI first builder within AI Product Engineering capability and AI Pods. This role is responsible for turning customer and business problems into working product solutions by using AI as the default execution medium across design support, implementation, testing, documentation, release preparation and analysis. This is not a traditional software development role built around rigid handoffs, story point rituals, or narrow ticket execution. The AI Product Engineer moves from problem understanding to working software quickly, while maintaining strong engineering judgment, product awareness, and quality standards. The role is central to H&L’s move toward an agentic product and development lifecycle. It requires end to end ownership across frontend, backend, data, testing, deployment and production reliability. It also requires clear accountability for the areas that must remain human led, including customer problem framing, product judgment, architecture, security, trade off decisions, quality control for edge cases, and release readiness. What you will do AI first product building Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation Contribute to H&L’s move toward an agentic product and software delivery model Problem analysis and solution design Analyse customer and business problems deeply before execution Break ambiguous problems into solvable components and evaluate multiple solution paths Make informed trade-offs between speed, quality, maintainability, security and customer value Apply strong engineering and product judgment to architecture, design and implementation decisions End to end engineering delivery Build modern, scalable frontend applications using React/Angular and TypeScript Design and implement robust backend services using Node.js Develop and maintain clean, secure and well-structured RESTful APIs Design sound data models and work effectively with relational and non-relational databases Support cloud native services in AWS environments Work with Docker, CI/CD pipelines and automated deployment practices Ensure strong automated test coverage across unit, integration and end to end layers Product and customer value Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems Participate in customer demos and explain how solutions work and why key design decisions were made Incorporate customer and operational feedback into fast iteration cycles Help ensure shipped capabilities drive measurable adoption, usage and business impact Quality, governance and reliability Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose Work within approved AI engineering patterns, tooling standards, review practices and security guardrails Ensure solutions meet both functional and non-functional expectations Support reliable operation in production and continuously improve performance, resilience and maintainability Contribute to engineering review standards for AI generated code, tests and documentation Platform evolution Develop new product capabilities Integrate customer driven project work into the core platform where appropriate Remove legacy layers and consolidate functionality into a scalable SaaS architecture Refactor incrementally and safely within complex and evolving codebases What this role is not Not a traditional software developer role focused only on ticket execution Not limited to coding work handed off without context or ownership Not bound by rigid SDLC stages that separate thinking from building Not an AI experimentation role without accountability for quality, adoption and outcomes What success looks like Success in this role will be measured through: Reduced cycle time from problem definition to working solution High quality and reliable shipped outcomes Strong adoption and usage of delivered capabilities Improved engineering leverage and throughput Contribution to customer and commercial outcomes Effective use of AI without compromising quality, security or judgment Frontend Deep experience with React, Angular and TypeScript in production grade applications Strong proficiency in modern JavaScript, HTML5 and CSS3 Experience designing scalable and maintainable frontend architectures Experience integrating RESTful APIs Backend Extensive experience designing and implementing backend systems using Node.js Strong experience building RESTful APIs Solid understanding of relational databases, data modelling and query optimisation Experience with asynchronous processing and system integration Core capabilities Strong ability to build working software using AI tools and AI assisted engineering workflows Experience rapidly prototyping and iterating on product ideas Understanding of AI system behaviour, limitations and failure modes Ability to reason across systems end to end Comfort moving independently from problem statement to implementation Ability to evaluate and improve AI generated outputs Strong debugging and problem-solving capability Strong understanding of software quality, testing and maintainability Testing and quality Experience writing automated unit and integration tests Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar Strong understanding of test strategy and testable architecture Experience working with CI/CD pipelines and automated test execution Cloud and operations Experience working in AWS hosted SaaS environments Experience with Docker and containerised deployments Experience troubleshooting production systems General engineering Strong architectural thinking across the full stack Experience working in complex and evolving codebases Proven ability to refactor legacy systems incrementally and safely Strong debugging and performance optimisation skills Experience mentoring engineers or leading technical initiatives Nice to have Experience with event driven systems such as Kafka Familiarity with monitoring and observability tooling Experience integrating AI APIs into business workflows Knowledge of DevOps best practices and infrastructure automation Experience in hospitality, retail, POS, or other multi-site operational SaaS environments

Responsibilities

This role is responsible for turning customer and business problems into working product solutions by using Artificial Intelligence as the default execution medium across the entire development lifecycle. The engineer will move from problem understanding to working software quickly, maintaining strong engineering judgment, product awareness, and quality standards across frontend, backend, data, testing, and deployment.