AI Software Engineer Full Stack Developer (Java, React)

Were looking for an AI Software Engineer Full Stack Developer (Java React) to join our team in Doha Qatar in an onsite working mode. This role focuses on enabling AI-assisted delivery by implementing cutting-edge solutions driving adoption of Spec-Driven Development (SDD) and integrating agentic AI capabilities in collaboration with architects and engineering leaders. Your work will have a direct impact on accelerating software engineering productivity ensuring reliability and embedding responsible AI practices into enterprise-grade systems.

• Contribute to AI architectures ensuring pragmatic integration of RAG agents and automation into microservices and enterprise platforms
• Implement and embed Spec-Driven Development (SDD) templates and governance into delivery workflows
• Build and maintain agentic AI use cases and implement guardrails for responsible AI adoption
• Deliver production-grade AI integrations including LLMs retrieval and embeddings within Java/Spring Boot services
• Ensure observability version management and CI/CD readiness for prompts models and specs
• Deploy and operate solutions on AKS and Azure environments with best practices for stability and security
• Assist with KPI tracking related to AI-enabled delivery for adoption quality and risk management
• Share knowledge through playbooks training and mentoring across engineering teams
• Implement security data handling controls and responsible AI constraints in production environments

• 5 years of hands-on experience with Core Java Spring/Spring Boot and microservices
• Experience with React
• Strong knowledge of cloud-native architecture databases (preferably Oracle/PLSQL) Kafka and Git-based workflows
• 12 years of experience in LLM-based solutions RAG architectures or agentic systems in production or enterprise pilots
• Understanding of Spec-Driven Development concepts and governance practices
• Experience with Azure services (AKS Web Apps) and CI/CD pipelines (GitLab preferred)
• Familiarity with LLM providers prompt engineering and techniques for evaluation and testing
• Strong communication skills and ability to collaborate with global teams

• Practical experience applying SDD in enterprise-level projects
• Knowledge of implementing observability in AI pipelines and secure rollouts