Senior GenAI Software Engineer in United States 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 Senior GenAI Software Engineer based in United States.

This role sits at the intersection of generative AI research and production-grade software engineering, focused on building next-generation creative systems for the advertising ecosystem. You will design and ship AI-driven platforms that generate and optimize ad creatives end-to-end, including multimodal assets and interactive experiences. Working within a specialized Creative GenAI team, you will help define how generative models are applied to real-world production workflows at scale. The environment is highly experimental, fast-moving, and deeply collaborative, with close interaction across product, creative, and engineering stakeholders. You will be expected to move ideas from prototype to production quickly, while maintaining strong system reliability and quality standards. This role is ideal for engineers who thrive in ambiguity and want to push the boundaries of LLMs, vision models, and diffusion systems in a high-impact, real-world domain.

• Architect and deliver end-to-end GenAI systems for ad creative generation, including multimodal pipelines, code generation components, and interactive playable ad experiences in production environments.
• Rapidly prototype experimental AI solutions, validate performance against real creative use cases, and transition successful prototypes into scalable, production-ready systems.
• Design robust evaluation frameworks for generative outputs, including human-in-the-loop review systems, A/B testing frameworks, and automated quality assessment metrics.
• Build and maintain AI agent systems that optimize creative workflows, incorporating guardrails, fallback mechanisms, and quality control layers to manage model variability.
• Partner closely with creative strategists, product managers, and cross-functional engineering teams to translate domain expertise into scalable AI-driven systems.
• Research emerging developments in LLMs, vision models, diffusion models, and multimodal AI, and translate insights into new product initiatives and technical capabilities.
• Mentor engineers and contribute to engineering best practices, fostering a culture of experimentation, feedback, and technical excellence across the team.

• 5+ years of relevant software engineering experience, including strong foundations in system design, production debugging, and scalable backend architecture.
• Proven experience building and shipping LLM-powered or GenAI systems into production, with a deep understanding of real-world failure modes and system tradeoffs.
• Strong programming skills in Python for AI/agent development and proficiency in JavaScript/TypeScript for frontend, creative tooling, or interactive applications.
• Hands-on experience with multimodal AI systems, including image and/or video generation models, diffusion models, or related generative technologies.
• Strong understanding of evaluation methodologies for AI systems, including offline metrics, human evaluation, and experiment design (A/B testing).
• Ability to design systems that balance model intelligence with deterministic logic, including tooling, context engineering, and system safeguards.
• Excellent communication skills with the ability to collaborate across technical and non-technical teams in ambiguous, fast-evolving environments.

• Competitive base salary with equity opportunities
• Comprehensive medical, dental, and vision insurance
• Remote-first flexibility with periodic in-person collaboration opportunities
• 401(k) retirement plan with company contributions (where applicable)
• Paid time off, parental leave, and flexible vacation policy
• Home office stipend and wellness support programs
• Learning and development budget and continuous growth opportunities
• Exposure to cutting-edge GenAI research and production systems at scale
• Inclusive and collaborative engineering culture focused on innovation and impact