Intermediate AI Software Developer – ANJU Full Time NEW

Aspire Software is looking for an intermediate Software Developer 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.

Role Overview

We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons.

You will design, build, and refactor production systems in .NET/C#, while also contributing significantly to a mature Java-based distributed platform composed of multiple microservices and supporting data tooling.

You are not just a developer. You are an architect, systems thinker, and automation builder who can operate across stacks and reduce complexity over time.

What “AI-Native” Means Here

This is not just “comfortable with GitHub Copilot/Claude Code/Codex.” You:

• Use AI daily to generate, refactor, test, document, and review code.
• Build internal AI agents and workflows to automate repetitive engineering tasks.
• Design systems assuming AI components will exist in the architecture.
• Know when AI is wrong and can spot hallucinations instantly.
• Continuously experiment with new tools and replace old workflows aggressively.

Responsibilities

• Architect and Build Scalable Systems (.NET)
• Design and implement high-quality backend systems in .NET and C#.
• Build modular, testable, maintainable architectures.
• Make sound trade-offs between performance, maintainability, and speed of delivery.
• Refactor legacy systems intelligently (not cosmetically).
• Contribute to a Distributed Java Platform
• Support and evolve a Java-based enterprise platform consisting of ~20 microservices.
• Work with a Java UI framework and REST-based service architecture.
• Maintain and enhance internal tooling for data mapping, validation, and automated query testing.
• Contribute to an authorization/security service layer.
• Interface with data generation pipelines built on Spark/Azure Databricks.
• Operate comfortably in Linux environments and deployment automation workflows.

This portion of the role requires ownership mindset, production debugging capability, and comfort navigating distributed systems.

• Leverage AI Across the SDLC
• Use LLMs and code-generation tools to:
• Draft and refactor production code
• Generate unit/integration tests
• Create migration scripts
• Perform static analysis and code reviews
• Produce technical documentation
• Build internal AI assistants for:
• Log analysis
• Support ticket triage
• Codebase navigation
• Technical debt discovery
• Continuously optimize development workflows using AI.
• Own Architecture Decisions
• Design APIs (REST, event-driven, microservices where appropriate).
• Work with cloud-native patterns (Azure preferred).
• Integrate AI services into production systems.
• Evaluate when to build vs. buy vs. automate.
• Improve observability, resilience, and service boundaries over time.
• Raise the Bar
• Set standards for AI-assisted development.
• Mentor other engineers in AI-native workflows.
• Push for measurable productivity gains.
• Eliminate manual processes wherever possible.

Requirements

Core Stack (.NET)

• Strong experience with:
• .NET
• C#
• ASP.NET Web APIs

Solid Understanding Of

• Entity Framework / ORM patterns
• SQL and database design (MySQL/MariaDB experience preferred)
• Clean architecture principles
• Dependency injection
• Testing frameworks (xUnit, NUnit, etc.)

Java & Distributed Systems

• Professional experience with:
• Java (Spring ecosystem or similar preferred)
• Gradle or equivalent build tooling
• Experience working in microservices architectures.

Comfortable With

• Linux command line environments
• Deployment automation (e.g., Ansible or similar)
• XML/CSV processing
• Automated testing tools (Selenium/Testim or similar)

Cloud & Data

• Azure experience preferred.
• Familiarity with:
• Databricks or Spark-based data pipelines
• Python-based data workflows (integration-level understanding)
• CI/CD pipelines.
• Infrastructure as Code familiarity.
• Observability (logging, tracing, monitoring).

AI & Automation

Hands-on Experience With

• LLM APIs
• Code copilots and AI IDE tooling
• Prompt engineering for engineering workflows
• Experience building:
• AI-assisted tools
• Internal bots or automation agents

Understanding Of

• Model limitations
• Cost-performance trade-offs
• Guardrails and reliability

What We’re Looking For

Technical Depth

You Can

• Read a large, multi-service codebase and map it quickly.
• Trace issues across services without getting lost.
• Identify architectural rot fast.
• Make systems simpler, not more complex.

AI Skeptic + Optimist

You

• Aggressively use AI but never blindly trust it.
• Know how to validate outputs.
• Treat AI as a junior developer that needs supervision.

Nice to Have

• Experience modernizing legacy .NET Framework or Java systems.
• Experience improving reliability in distributed microservice environments.
• Exposure to Node.js / Express / modern frontend frameworks.
• Experience integrating AI into enterprise workflows.
• Background in regulated or compliance-heavy industries.