Builds production-grade agentic AI systems for autonomous websites, including RAG optimization, multi-agent architectures, and full-stack development integrating AI into web apps. Requires hands-on prompt engineering, model fine-tuning, and product-first experience deploying user-facing AI products.
150k – 250k/yr
On-siteFullstack Engineering
About the role
Responsibilities
Designing and implementing production-grade agentic systems that power web experiences and marketing workflows, leveraging advanced prompt engineering and multi-agent architectures
Architecting and optimizing RAG (Retrieval-Augmented Generation) systems with context engineering
Strengthening engineering processes through robust evals, observability, and testing
Developing and maintaining the core application across frontend, backend, and infrastructure
Shaping technical vision and leading architectural discussions
Creating and testing prototypes to gather rapid user feedback
Basic Qualifications
Product-first engineer who has built and deployed AI products that real users depend on
Extensive hands-on experience with prompt engineering, context optimization, and model fine-tuning
Strong full-stack engineering skills with experience integrating AI into web applications
Regularly use AI IDEs like Cursor or Windsurf to code
Take ownership of problems from start to finish and eager to learn
Comfortable in fast-paced environment with evolving requirements
Enthusiasm for building MVPs and iterating based on user feedback
Preferred Qualifications
Experience using AI for design system automation and component generation
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
150k – 275k/yr
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Full-Stack Software Engineer building AI-integrated infrastructure for rapid AI compute capacity at Fluidstack. Own features end-to-end across supply chain automation, capacity forecasting, internal AI agents, operational tooling, and datacenter design/validation. Requires 5+ years production experience, deep LLM/agent expertise, and extreme ownership.
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Build and own features across Fluidstack's AI-integrated software stack for supply chain automation, capacity forecasting, internal AI infrastructure, operational automation, and datacenter design/validation. Requires 5+ years shipping production code (Go/Python/TypeScript), deep LLM/agentic experience, high autonomy, and strong product taste.
