AI Software Engineer - Full Stack Developer (Java, React)
Role Overview
EPAM seeks an AI Software Engineer – Full Stack Developer (Java, React) to join its team in Doha, Qatar, in an onsite working mode.
The role enables AI-assisted delivery through solution implementation, Spec-Driven Development adoption, and agentic AI integrations with architects and engineering leaders.
The work aims to improve software engineering productivity and reliability and embed responsible AI practices into enterprise systems.
Key Skills for This Role
Full Job Posting
Role overview
EPAM seeks an AI Software Engineer – Full Stack Developer (Java, React) to join its team in Doha, Qatar, in an onsite working mode.
The role enables AI-assisted delivery through solution implementation, Spec-Driven Development adoption, and agentic AI integrations with architects and engineering leaders.
The work aims to improve software engineering productivity and reliability and embed responsible AI practices into enterprise systems.
Responsibilities
- Contribute to AI architectures and integrate RAG, agents, and automation into microservices and enterprise platforms.
- Implement Spec-Driven Development templates and governance in delivery workflows; build agentic AI use cases and responsible AI guardrails.
- Deliver production-grade integrations for LLMs, retrieval, and embeddings within Java and Spring Boot services.
- Ensure observability, version management, and CI/CD readiness for prompts, models, and specifications.
- Deploy and operate solutions on AKS and Azure, applying stability and security best practices.
- Assist with KPI tracking for AI-enabled delivery adoption, quality, and risk; share playbooks, training, and mentoring.
- Implement security, data-handling controls, and responsible AI constraints in production.
Requirements
- At least five years of hands-on experience with Core Java, Spring or Spring Boot, and microservices; experience with React.
- Strong knowledge of cloud-native architecture, databases (preferably Oracle/PLSQL), Kafka, and Git-based workflows.
- At least 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, including AKS and Web Apps, and CI/CD pipelines; GitLab is preferred.
- Familiarity with LLM providers, prompt engineering, and evaluation and testing techniques.
- Strong communication skills and ability to collaborate with global teams.
- Enterprise Spec-Driven Development experience and knowledge of AI-pipeline observability and secure rollouts are preferred.
Benefits
- Private healthcare and life insurance; end-of-service gratuity; annual air travel tickets for expatriates.
- Corporate programs include an employee referral program with rewards.
- Learning and development opportunities include in-house training, coaching, professional certifications, and courses.
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