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.
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 AISaaS 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 abreast of 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 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, Node.js, 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 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!