AI Systems Engineer
3 weeks ago
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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