AI Systems Engineer

3 weeks ago


San Francisco, California, United States LOG10 LLC Full time
About LOG10 LLC

At LOG10 LLC, we're pushing the boundaries of AI-powered applications. Our platform provides AI-powered evaluations, fine-tuning, and debugging tools to address the challenges around reliability and consistency. With a team of experienced professionals from Intel, MosaicML, Adobe, Docker, PostEra, Starburst, and Second Measure, we're well-equipped to tackle this challenge. We're seeking a skilled AI Systems Engineer to help build self-improving LLM applications. You'll work closely with our founders and AI & engineering teams to make LLMs usable in various professional scenarios.

Responsibilities
  • Design and develop cloud-based workflows, data pipelines, and compute infrastructure for production AI workloads, such as LLM inference, evaluation, and fine-tuning.
  • Evaluate cloud computing and AI SaaS providers to identify cost, accuracy, throughput, and latency trade-offs, building systems that optimize for these parameters.
  • Compare closed-source (OpenAI, Anthropic, Gemini) and open-source LLM providers (Together, MosaicML, Replicate).
  • Develop and evaluate systems with multiple interconnected LLMs and data sources.
  • Collaborate with cross-functional teams to integrate AI solutions into our product offerings.
  • Stay up-to-date with emerging trends in AI, ML, and cloud technologies to continuously improve our systems.
  • Ensure compliance with data privacy and security protocols throughout the AI lifecycle.

Requirements
  • 5+ years of experience designing and operating production systems.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with NLP/ML data pipelines and workflows.
  • Experience with PostgreSQL, Redis, and AWS services.
  • Comfortable with Python, and Go.
  • Strong grasp of distributed computing fundamentals.
  • Self-directed and enthusiastic about solving complex problems.

Nice to Have
  • Familiarity with prompt programming and large language models.
  • Experience in developing and deploying large-scale AI systems.
  • Experience with ML model lifecycle management tools.
  • Knowledge of advanced ML techniques, including deep learning and reinforcement learning.
  • Contributions to open-source projects or published research in relevant fields.

We offer a competitive salary, equity, health/dental/vision insurance, and the chance to develop foundational systems that will redefine how companies build AI. This is a high-impact, high-autonomy role for someone eager to take on technical ownership and leadership. If this matches your background and ambitions, we'd love to hear from you.
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