Remote Software engineering Jobs · LLM

• Build the shared AI execution platform that powers every AI product.
• Shape the unified architecture, guide tough tradeoffs, and elevate engineering standards.
• Ensure the platform is scalable, safe, cost-efficient, and easy to build on.

• Lead AI discovery sessions and technical assessments with clients, developing prototypes and proof-of-concepts for real-world applications.
• Guide internal AI product development, evaluating and integrating emerging tools and frameworks into delivery methodologies.
• Author technical content such as white papers, case studies, and blog posts, and deliver presentations at conferences or webinars.

• Build and design end-to-end training pipelines for AI models, covering data ingestion to inference.
• Architect scalable inference systems using tools like vLLM, TensorRT-LLM, or DeepSpeed.
• Shape early product direction by experimenting with new use cases and building AI-powered experiences.

• Support the development and improvement of engineering infrastructure for a novel agentic AI system.
• Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in agentic AI.
• Support technical experiments that conduct evaluations of LLMs and AI agents with engineering infrastructure.

• Own the architecture, training, and deployment of the models that power our core product.
• Write production code, defining our alignment strategy, and shipping features used by millions of users globally.
• Build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.

Lead the development and deployment of large-scale generative AI and LLM solutions. Manage and mentor a small AI engineering team while remaining hands-on in coding and model fine-tuning. Shape the architecture and performance of products used by millions of users globally.

This role requires a builder to take the helm of our LLM team and own the architecture, training, and deployment of the models that power our core product. You will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. The role operates in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research.