AI Software Engineer - Full Stack Developer (Java) at EPAM Systems

EPAM Systems

Doha

On-site

QAR 180,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

Healthcare & life insurance
End of service gratuity
Air travel tickets for expatriates
Referral program with rewards
Learning and development opportunities

Job summary

EPAM Systems in Doha, Qatar, is seeking an AI Software Engineer - Full Stack Developer (Java) to join our team on-site. The role focuses on AI-assisted delivery, Spec-Driven Development, and agentic AI capabilities across enterprise platforms.

Responsibilities include designing AI architectures, building production-grade integrations with LLMs and embeddings, and ensuring security, observability, and CI/CD readiness. Collaboration with global teams is essential.

Qualifications

  • 5+ years of hands-on experience with Core Java, Spring Boot and microservices.
  • Strong knowledge of cloud-native architecture, databases (Oracle/PLSQL), Kafka, and Git workflows.
  • 1-2+ years of experience in LLM-based solutions, RAG architectures, or agentic systems.
  • 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 testing techniques.
  • Excellent communication and collaboration across global teams.

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

Skills

Core Java
Spring Boot
Microservices
Cloud-native
Kafka
Git workflows
LLM integration
Prompt engineering
Collaborative skills
Security awareness

Tools

Oracle/PLSQL
AKS
Azure Web Apps
GitLab CI/CD
Oracle SQL

Job description

This Full time on site position offers great opportunities for career growth. We're looking for an AI Software Engineer - Full Stack Developer (Java) to join our team in Doha, Qatar, in an on-site 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
  • 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: Experience with React for UI layer integration
  • Practical experience applying SDD in enterprise-level projects
  • Knowledge of implementing observability in AI pipelines and secure rollouts
Benefits
  • Private healthcare and life insurance
  • End of service gratuity
  • Annual air travel tickets for expatriatesCorporate Programs including Employee Referral Program with rewards
  • Learning and development opportunities including in-house training and coaching, professional certifications, and courses
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