Falcon Innovation Partners - FZCO is hiring for a Full Stack Engineer position in Lebanon | LinkedIn

We are hiring Full-Stack Software Engineer designs, develops, tests, automates, implements, and maintains software components and modules across our application portfolio. This spans modern cloud-based applications on AWS and Azure as well as established legacy systems built on SQL, .NET, and C#. What sets this role apart is how the work gets done: we expect engineers to work in an AI-first, agentic way, using AI coding assistants and agentic development workflows to deliver higher-quality software faster, while increasingly building AI-driven and agentic capabilities into the products we ship.

As a Full-Stack Software Engineer III, you will architect AI-native and agentic solutions, set the standard for responsible and effective AI-assisted development on the team, and lead the modernization of legacy systems using modern AI approaches.

Required Education and Experience:

Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience.
12+ years of professional software engineering experience

Qualifications

Experience using Agile methodologies such as Scrum, Kanban, or XP in a highly technical environment.
Hands-on experience and in-depth knowledge of AWS and/or Azure cloud technologies, including IoT services and devices.
Proficiency in these technologies: .NET, C#, HTML5, Web API, MVC, Angular framework, jQuery, Bootstrap, and NUnit.
Experience with Azure cloud services (Cosmos DB, Event Hubs, Service Bus, and Runbooks).
Strong experience with PostgreSQL and SQL queries, including support and modernization of legacy SQL-backed applications.
Intermediate expertise across CI/CD tooling, such as Bitbucket, GitLab, Jenkins, Artifactory, and SonarQube.
Strong knowledge of data structures and algorithms.
Strong analytical and computational skills, with the ability to tackle problems using a logical, systematic, sequential approach.
Ability to keep others appropriately informed and to express ideas clearly in conversations and interactions.
A passion for solving problems and providing workable solutions.
Self-motivated, able to work well under pressure, and able to work cooperatively on a team.

AI-First Engineering

Deep, hands-on experience using AI coding assistants and agentic development tools (for example, Claude / Claude Code, GitHub Copilot, or similar) to deliver production software.
Demonstrated ability to integrate AI into applications, including LLM APIs, prompt and context design, retrieval-augmented generation, and agentic or tool-use architectures.
Track record of setting standards and guardrails for safe, secure, and responsible AI use across an engineering team.
Comfort working across both modern and legacy systems, applying AI-assisted approaches to older codebases.

Preferred

Experience building production AI or LLM features, or agentic systems.
Experience modernizing or migrating legacy applications with AI assistance.
Familiarity with evaluations, observability, and guardrails for AI systems.
Contributions to internal AI tooling, prompt libraries, or developer-productivity practices.
Telecommunications industry experience is a plus.
A good understanding of Kotlin and Java is a plus.
Familiarity with test-driven development methodology.

Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience.
12+ years of professional software engineering experience

Qualifications

Experience using Agile methodologies such as Scrum, Kanban, or XP in a highly technical environment.
Hands-on experience and in-depth knowledge of AWS and/or Azure cloud technologies, including IoT services and devices.
Proficiency in these technologies: .NET, C#, HTML5, Web API, MVC, Angular framework, jQuery, Bootstrap, and NUnit.
Experience with Azure cloud services (Cosmos DB, Event Hubs, Service Bus, and Runbooks).
Strong experience with PostgreSQL and SQL queries, including support and modernization of legacy SQL-backed applications.
Intermediate expertise across CI/CD tooling, such anomalies as Bitbucket, GitLab, Jenkins, Artifactory, and SonarQube.
Strong knowledge of data structures and algorithms.
Strong analytical and computational skills, with the ability to tackle problems using a logical, systematic, sequential approach.
Ability to keep others appropriately informed and to express ideas clearly in conversations and interactions.
A passion for solving problems and providing workable solutions.
Self-motivated, able to work well under pressure, and able to work cooperatively on a team.

AI-First Engineering

Deep, hands-on experience using AI coding assistants and agentic development tools (for example, Claude / Claude Code, GitHub Copilot, or similar) to deliver production software.
Demonstrated ability to integrate AI into applications, including LLM APIs, prompt and context design, retrieval-augmented generation, and agentic or tool-use architectures.
Track record of setting standards and guardrails for safe, secure, and responsible AI use across an engineering team.
Comfort working across both modern and legacy systems, applying AI-assisted approaches to older codebases.

Preferred

Experience building production AI or LLM features, or agentic systems.
Experience modernizing or migrating legacy applications with AI assistance.
Familiarity with evaluations, observability, and guardrails for AI systems.
Contributions to internal AI tooling, prompt libraries, or developer-productivity practices.
Telecommunications industry experience is a plus.
A good understanding of Kotlin and Java is a plus.
Familiarity with test-driven development methodology.