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Lead growth and demand generation for a B2B AI infrastructure startup. Build PLG funnel, run paid and organic developer campaigns, own SEO/content, implement lead scoring and ABM, create enterprise sales enablement materials, and set up growth analytics and lifecycle marketing to drive awareness, activation, and customer acquisition.

Join a team building and scaling production AI model-serving infrastructure. Collaborate on designing, implementing, optimizing, and monitoring inference solutions; write and review code; test and maintain model-serving systems; and explore new AI/ML techniques to improve performance. Early-career role focused on learning, shipping features, and operational responsibility.

Work with engineers to design, implement, and deploy scalable inference solutions for top AI models. Implement and optimize models (Python, C++, CUDA, NCCL), monitor live services, develop features, fix bugs, participate in code reviews, and collaborate in agile teams.

Design and implement AI model inference solutions, optimize performance, own production systems, and collaborate in engineering best practices.

Assist the engineering team in designing, developing, and deploying scalable AI models. Responsibilities include implementing models, optimizing code, and participating in collaboration activities.

As a Software Engineer, you will collaborate on designing, developing, and testing AI models, maintain production systems, and explore new techniques within a small, impactful team.

Spearhead developer community building and content efforts, creating engaging technical resources and driving the adoption of DeepInfra's AI services while collaborating across departments and representing the company at events.

Design and develop inference solutions for AI models, optimize performance, and maintain production systems while owning end-to-end problems.

DeepInfra seeks early-career Software Engineers to design and scale infrastructure for AI models. Responsibilities include collaboration on AI solutions, coding, testing, and maintaining production systems, alongside learning and growth opportunities.