For one of our partners, we're looking for Software engineers with experience in Python, Java and AI integration.

Title: Software Engineer
Location: Romania
Type of contract: employment contract, B2B
Rate: 17,000-27,500 RON net/month on employment contract or 42-65 EUR/hr on B2B contract
Type of work: remote
MonkeyRecruit client: outsourcing company
End client: Global organization providing scientific, medical, and analytics information platforms.

The Role
Role within an AI Engineering team focused on building scalable, reusable generative AI services and platform capabilities. The position combines platform architecture, backend engineering, and AI integration into production systems.

Responsibilities
Lead architectural design and ensure technical consistency across services
Design and develop reusable generative AI services and components
Translate AI prototypes into production-ready systems
Contribute to system design across multiple services and modules
Define and promote engineering best practices (scalability, observability, CI/CD, testing)
Work in Kubernetes environments to deploy scalable applications
Collaborate with product, platform, and research teams
Mentor engineers and contribute to engineering standards
Participate in code reviews, architecture discussions, and cross-team initiatives
Stay updated with generative AI developments and promote responsible adoption

What We’re Looking For
Proven experience leading technical architecture for large-scale platforms or services.
Solid understanding of software development methodologies and data modeling principles.
Deep expertise in Python and Java.
Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
Strong experience with Kubernetes (EKS) and cloud-native architectures.
Proven track record building scalable backend systems and APIs.
Experience mentoring engineers and contributing to architectural decisions.
Ability to work collaboratively across functions in an Agile or Kanban environment.

Nice to Have
Experience operationalizing LLMs or building internal AI platforms.
Familiarity with observability practices (metrics, logging, alerts).
Exposure to knowledge graphs or semantic search systems.

Recruitment steps:
HR Screening
Technical Interview (outsourcing company)
Pre-Offer Alignment
Client & Project Briefing (with Account Manager)
Client Interview
Final Feedback & Offer