Senior Staff GenAI Platform Engineer

Clarity AI

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About The Role:

  • We are looking for a Senior GenAI Platform Staff Engineer who is an expert in the deployment and scaling of LLMs and Agentic systems
  • You will bridge the gap between machine learning experimentation and production at scale by building the robust, highly efficient platform that powers our AI initiatives.
  • You will define best practices, build automated pipelines, and ensure that our infrastructure can handle complex agentic workflows with high reliability and performance.

What You’ll Be Doing:

  • GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
  • Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
  • High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.

What You’ll Need:

  • LLM & Agent Expertise: Deep, hands-on experience deploying Large Language Models and complex agentic architectures at scale.
  • GenAI Platform Specifics: Proven experience in implementing Prompt Lifecycle Management (versioning, testing, and deploying prompts as code), an LLM Abstraction Layer (provider-agnostic access), and systems for Cost & Usage Control (visibility and limits on GenAI spend per use case).
  • Evaluation & Benchmarking Mastery: Expert-level experience building automated evaluation pipelines and frameworks (e.g., Ragas, DeepEval, G-Eval) and implementing LLM-as-a-judge patterns to validate model quality, grounding, and safety in CI/CD.

Clarity AI

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.

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