Build and maintain full stack features for fal's Serverless AI inference platform, including UI dashboards, backend APIs, and scalable systems. Requires strong TypeScript, Python, Next.js, and Postgres proficiency with end-to-end ownership in a fast-paced environment.
150k – 230k/yr
On-siteFullstack Engineering
About the role
What you’ll work on
Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)
Design and implement backend APIs that power the Serverless product experience
Improve performance, reliability, and scalability of customer-facing systems
Work closely with Infrastructure to ensure product features align with platform capabilities
Own features end-to-end, from design through production and iteration
What we’re looking for
Strong experience working across both frontend and backend
Proficiency with TypeScript, Python, Postgres, and Next.js
Experience owning features end-to-end in production systems
Ability to context switch between UI, backend, and performance work
Product-minded engineer who values clean abstractions and long-term maintainability
Comfortable working in a fast-moving, low-process environment
Nice to have
Experience building developer platforms or infrastructure-adjacent products
Familiarity with observability tooling (logging, metrics, tracing) in production environments
Background in distributed systems, container orchestration, or cloud-native architectures
Experience with real-time systems, streaming logs, or high-throughput data pipelines
Exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems
Entrepreneurial mindset and strong ownership mentality
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
On-siteFullstack Engineering
Product Engineer, Commissioning
FluidstackSan Francisco, CA
Build software systems to automate commissioning of AI data center infrastructure. Generate test procedures, schedules, and automated L4/L5 execution from a live knowledge graph; integrate with BMS/EPMS and ship agentic LLM tools to commissioning engineers on factory floors and live sites. Requires production coding in Go/Python/TS, LLM/agent frameworks, and field credibility with controls experts.
150k – 275k/yr
On-site5+ YOEFullstack Engineering
Product Engineer, Manufacturing
FluidstackSan Francisco, CA
Build and ship production software that automates quality control, factory scheduling, integrator scoring, and corrective actions for AI supercomputer manufacturing. Embed with domain experts on factory floors to turn their judgment into self-improving graph-based systems; requires production coding in Go/Python/TS, LLM/agent experience, and strong product taste for industrial workflows.
150k – 275k/yr
On-siteFullstack Engineering
Full-Stack Software Engineer
FluidstackSan Francisco, CA +3
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.
150k – 350k/yr
On-site5+ YOEFullstack Engineering
Software Engineer, Product
FluidstackSan Francisco, CA +3
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.
