AI Developer

Aspire Software

. Design, build, and run LLM-powered features and services from prototype through monitored production .

Posted 10/17/2026full-timeBeirut • LebanonMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping LLM-based applications, integrating AI services with Java backend systems, and evaluating AI feature quality through systematic testing and metrics. Proficient in API integration, relational databases, and Agile methodologies, with strong problem-solving and collaboration skills.

Highest-signal resume keywords

LLM-Based Application DevelopmentAPI Integration SkillsRelational Database FluencyPython and Java Software EngineeringAgile Methodologies Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM APIsRAG PipelinesSQLRESTJSONClean Code PracticesTest Set EvaluationEmbedding TechniquesHybrid SearchAgent Frameworks

Soft Skills

Problem-SolvingCollaborationIndependent WorkConstructive FeedbackCommunication

Tools & Technologies

Oracle DatabasePostgreSQLMySQLAI Coding ToolsCI/CDContainerizationCloud TechnologiesTicketing SystemsBusiness Data IntegrationLLM Observability Tools

Industry Keywords

AI SecurityIdentity TechnologiesEnterprise Support DomainFast-Paced Delivery CyclesFrontend Basics

Tech Stack

Tools & technologies

CloudJavaMySQLOraclePostgresPythonSQL

About the role

Key responsibilities & impact

Design, build, and run LLM-powered features and services from prototype through monitored production
Build RAG pipelines over product documentation, configuration knowledge, and support history
Develop agentic workflows and tool integrations for APIs, ticketing systems, and business data
Integrate AI services with Java backend services, REST APIs, and Oracle databases
Build evaluation suites and test sets to measure AI feature quality
Engineer prompts, context, and guardrails while addressing hallucination, privacy, access control, and cost
Monitor production AI features for quality, latency, token cost, and failure modes
Work with support, product, and operations colleagues to turn use cases into practical tools
Collaborate with the Italian development team and cross-functional stakeholders
Participate in code reviews and provide constructive feedback
Help developers adopt AI-assisted development and create documentation
Use AI coding tools critically while owning shipped work

Requirements

What you’ll need

Proven experience building and shipping LLM-based applications to real users—not only experiments or tutorials
Hands-on experience with LLM APIs, including tool use/function calling and structured outputs
Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality
Solid software engineering in Python and/or Java; clean, tested, maintainable code; comfortable working in an existing Java backend
API and integration skills: REST, JSON, authentication, and connecting services to existing business systems
Relational database fluency and strong SQL; Oracle experience preferred, PostgreSQL or MySQL accepted
Habit of evaluating AI output systematically using test sets, metrics, and regression checks
Strong problem-solving skills and ability to work independently and collaboratively
Experience with Agile methodologies and fast-paced delivery cycles
Professional-level English, written and verbal
Nice to have: agent frameworks and protocols, vector databases/search engines, LLM observability/evaluation tooling, Java frameworks, containerisation/deployment and CI/CD, cloud experience, AI security, identity/authentication technologies, frontend basics, and publishing or enterprise support domain experience