Generative AI Pipeline Engineer (Tech Lead) in Romania at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Generative AI Pipeline Engineer (Tech Lead) based in Romania.

This is a unique opportunity to lead the technical vision behind a next-generation AI media production platform built for large-scale, production-ready creative workflows. You will architect robust generative AI systems that prioritize precision, reproducibility, and operational excellence over experimentation alone. Working at the intersection of engineering, AI, and design, you will collaborate closely with creative leaders to develop scalable infrastructure that empowers non-technical users. From GPU environments and automated quality control to custom generation pipelines, your work will directly shape how AI-powered media is produced. This greenfield role offers significant ownership, technical freedom, and the chance to establish best practices for AI-driven content generation. It is ideal for an experienced engineer passionate about building reliable, production-grade AI solutions that deliver measurable business impact.

As the technical lead for the AI media production platform, you will design, implement, and continuously improve scalable generative AI infrastructure while enabling creative teams to produce high-quality assets efficiently. You will establish technical standards, evaluate emerging technologies, and ensure every workflow delivers reliable and reproducible results.

• Architect and manage a scalable AI media production platform, including GPU environments, workflow orchestration, and user-friendly interfaces.
• Design and deploy modular, version-controlled, and reproducible image and video generation pipelines.
• Build one-click workflows and reusable presets that simplify AI content generation for non-technical users.
• Develop and optimize end-to-end LoRA training pipelines, from dataset preparation through model evaluation and deployment.
• Integrate advanced control mechanisms such as ControlNet, IP-Adapter, inpainting, and reference conditioning into production workflows.
• Implement automated quality control processes to validate generated assets against reference materials before manual review.
• Create reusable frameworks that capture and scale successful creative patterns across projects.
• Partner with design leadership to define the technical roadmap, evaluate new AI models and tools, and promote adoption through technical enablement.

We are looking for an experienced AI engineer with a strong background in production-grade generative AI systems, workflow automation, and technical leadership. The ideal candidate combines deep technical expertise with practical problem-solving skills and the ability to collaborate across engineering and creative teams.

• Proven experience building and deploying generative AI pipelines used in production environments.
• Strong hands-on experience with ComfyUI, Diffusers, or equivalent workflow frameworks.
• Advanced Python programming skills, including automation, API integrations, and development of custom nodes or tooling.
• Experience training LoRA models from dataset creation through evaluation and deployment.
• Strong knowledge of AI control techniques, including ControlNet, IP-Adapter, image-to-image workflows, video generation, inpainting, and reference conditioning.
• Experience deploying AI pipelines as internal production tools.
• Good visual judgment with the ability to evaluate output quality and consistency.
• Professional English communication skills (B2 level or higher).
• Experience with Blender, CAD-based workflows, LLM orchestration, agentic AI workflows, or performance marketing creative production is considered an advantage.
• Strong leadership, collaboration, and strategic planning skills with the ability to drive technical direction in a fast-paced environment.

• Fully remote work environment with flexibility to work from anywhere.
• Generous paid vacation policy.
• Unlimited paid sick leave.
• Comprehensive medical insurance coverage.
• Home office equipment and furniture allowance.
• Flexible fitness and wellness allowance.
• Ongoing learning support through books, workshops, conferences, and professional development programs.
• Opportunity to build and lead a greenfield AI platform with significant technical ownership.
• Collaborative international team focused on innovation, experimentation, and continuous improvement.
• Dynamic and engaging company culture with regular team activities and knowledge-sharing initiatives.