Note: The job is a remote job and is open to candidates in USA. Saragossa is a Private-Equity-backed professional services business focused on AI infrastructure. The role involves building the AI infrastructure layer for generative AI, defining deployment standards, and ensuring production readiness at enterprise scale.
Responsibilities
- You are building the AI infrastructure layer that takes generative AI from experiment to enterprise reality at a Private-Equity-backed professional services business
- You are defining how AI applications get deployed, monitored, and operated across the business
- You set the standards
- You shape the architecture
- You are working with frontier models and frameworks across OpenAI, Anthropic, Google, and LangGraph
- You are building out LLMs, owning AI observability, and making sure the systems you ship actually hold up in production at enterprise scale
- You are applying your experience to one of the fastest growing areas in engineering
- AI governance, evaluation pipelines, deployment automation, these are the skills that will define the next decade of infrastructure work, and you are building them here
- You bring solid MLOps experience and a strong grip on ML infrastructure with a background in software engineering
- You know what it takes to move models out of notebooks and into production environments that real businesses depend on
Skills
- Solid MLOps experience
- Strong grip on ML infrastructure
- Background in software engineering
- Experience with deploying, monitoring, and operating AI applications
- Experience with frontier models and frameworks across OpenAI, Anthropic, Google, and LangGraph
- Ability to build out LLMs
- Experience with AI observability
- Ability to ensure systems hold up in production at enterprise scale
- Experience with AI governance, evaluation pipelines, and deployment automation
Company Overview