We're 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.
Responsibilities
- 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
Requirements
- 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
- 1–2+ 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
- Nice to have Practical experience applying SDD in enterprise-level projects
- Knowledge of implementing observability in AI pipelines and secure rollouts
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