Senior AI Engineer responsible for building and scaling AI capabilities at Elevance Health. Collaborating with multi - disciplinary teams to enhance operational efficiency and technical governance.
About the role
- AI Product Engineer at Aspire Software creating AI-driven product solutions in Lebanon. Engaging in full-cycle ownership from backend to frontend within a hybrid work environment.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
Requirements
- 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
- 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
- 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
- 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
- Experience working in AWS hosted SaaS environments
- Experience with Docker and containerised deployments
- Experience troubleshooting production systems
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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