About the Role
Lead the design and implementation of scalable systems for large language models and generative AI, driving technical direction and mentoring engineers in a remote-first environment.
Responsibilities
- Lead the architecture and deployment of LLM-powered applications
- Guide engineering best practices in machine learning and AI development
- Collaborate with research teams to transition prototypes into production
- Mentor software engineers and data scientists on AI system design
- Define technical roadmaps for generative AI product features
- Ensure models meet performance, scalability, and reliability standards
- Oversee integration of LLMs into existing software platforms
- Evaluate emerging AI frameworks and tools for team adoption
- Drive automation in model training, evaluation, and deployment pipelines
- Champion code quality, testing, and documentation across projects
- Work closely with product managers to align technical capabilities with business goals
- Troubleshoot complex system issues in distributed AI environments
- Promote efficient use of cloud infrastructure for AI workloads
- Lead incident response and post-mortem analysis for AI services
- Foster knowledge sharing through technical reviews and documentation
- Ensure compliance with data privacy and AI ethics guidelines
- Optimize inference latency and cost for generative models
- Support the development of internal AI tools and platforms
- Coordinate cross-team dependencies for AI feature delivery
- Advocate for user-centric design in AI-driven experiences
- Monitor model behavior for drift, bias, and degradation
- Implement robust monitoring and alerting for AI systems
- Contribute to open-source projects related to AI infrastructure
- Stay current with advancements in LLM and generative AI research
- Represent the team in technical discussions with external partners
Nice to Have
- Master’s or PhD in computer science or artificial intelligence
- Contributions to open-source AI projects
- Publications or presentations in AI or machine learning venues
- Experience with multi-modal generative models
- Background in reinforcement learning from human feedback (RLHF)
- Familiarity with low-level model optimization techniques
- Experience leading remote engineering teams
- Knowledge of internationalization and localization in AI systems
- Track record of building developer-facing AI tools
- Experience working with regulated data environments
Compensation
Competitive salary and benefits package
Work Arrangement
Fully remote, based in Cyprus
Team
Collaborative engineering team focused on cutting-edge AI innovation
Why This Role Matters
- You will shape the future of AI-driven products by leading technical execution and innovation.
- Your work will directly influence how generative AI is built and used responsibly within the organization.
What We Value
- Technical excellence paired with clear communication.
- Proactive problem-solving and ownership mindset.
- Collaboration across disciplines to achieve shared goals.
Not applicable; remote position based in Cyprus
