About Log10 IncLog10 is addressing the challenges around reliability and consistency of LLM-powered applications via a platform that provides AI-powered evaluations, fine-tuning and debugging tools. We are currently a team of 8 having previously worked in AI and infra roles at companies such as Intel, MosaicML, Adobe, Docker, PostEra, Starburst and Second Measure.LLMs hold great promise but today making them reliable and improving their accuracy requires a lot of manual effort. At Log10, we are focussed on solving this challenge. We are looking for a ML Engineer to help build self-improving LLM applications. You will work directly with the founders and the AI & engineering teams to make LLMs usable in many different professional scenarios.ResponsibilitiesDesign and develop cloud-based workflows, data pipelines and compute infrastructure for production AI workloads such as LLM inference, evaluation and fine-tuningEvaluate cloud computing and AISaaS providers to identify cost, accuracy, throughput and latency trade-offs. Building systems that optimize for these parametersCompare closed source (OpenAI, Anthropic, Gemini) and open source LLM providers (Together, MosaicML, Replicate)Develop and evaluate systems with multiple interconnected LLMs and data sourcesCollaborate with cross-functional teams to integrate AI solutions into our product offeringsStay abreast of emerging trends in AI, ML, and cloud technologies to continuously improve our systemsEnsure compliance with data privacy and security protocols throughout the AI lifecycleRequirements5+ years experience designing and operating production systemsBachelor's or Master's degree in Computer Science, Engineering, or a related fieldExperience with NLP/ML data pipelines and workflowsExperience with PostgreSQL, Redis and AWS servicesComfortable with Python, Node.js, and GoStrong grasp of distributed computing fundamentalsSelf-directed and enthusiastic about solving complex problemsNice to haveFamiliarity with prompt programming and large language modelsExperience in developing and deploying large-scale AI systemsExperience with ML model lifecycle management toolsKnowledge of advanced ML techniques, including deep learning and reinforcement learningContributions to open-source projects or published research in relevant fieldsWe provide 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!