Skip to content
FluidstackFluidstackSan Francisco, CA

Member of Technical Staff

Build core primitives for entity ownership, audit, authorization, and orchestration. Own domain models for power, datacenters, and chips while enabling AI agents to safely operate production systems.

150k – 250k
HybridBackend Engineering

About the role

Role Scope

  • Build core primitives end to end: entity ownership, audit, authorization, orchestration. Make the right thing the default and the wrong thing hard.
  • Own the domain model: turn Fluidstack's world of power, datacenters, and chips into composable entities that still hold up years from now.
  • Define interactions with the outside: interface with vendor systems and ingest the formats our domain actually speaks (KMZ, BIM, Revit, vendor docs).
  • Make AI agents first-class operators of our systems: give them the tools, guardrails, and audit trails to act safely, not just advise.

What We're Looking For

  • Move toward ambiguity, not away from it. Walk into the fog, build the map, and explain it to everyone else.
  • Learn at a steep slope. Reach real competence in an unfamiliar domain fast (workflow engine, authz model, geospatial format). Value this over existing expertise.
  • Have taste in abstraction. See the one primitive hiding under five janky one-offs, and know when not to abstract.
  • Model domains with rigor earned the hard way. Gotten it wrong, felt the pain, and never forgot it.
  • Pull structure out of mess. Done real work turning messy, unstructured data into something usable, in ML, data engineering, or research.
  • Fluent with AI tooling: LLM APIs, MCP servers, and agentic frameworks; drive Claude Code, Cursor, or similar every day.
  • Shipped production code that other people depend on; comfortable in any language using AI coding tools.

Bonus

  • MLE work, especially extraction and synthesis from unstructured data.
  • Workflow and orchestration engines (Temporal, Cadence, Airflow).
  • Geospatial (KMZ/GIS) or BIM (Revit, IFC).
  • Authorization and policy engines (OPA, Zanzibar-style, RBAC/ABAC).
  • Audit or event-sourcing systems.
  • Go, TypeScript, and Postgres.

Salary & Benefits

  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.
  • Base salary range: $150,000 - $250,000 per year, depending on experience, skills, qualifications, and location. Total compensation may also include equity in the form of stock options.

Skills

LLM APIsMcp ServersAgentic FrameworksClaude CodeCursorGoTypeScriptPostgresTemporalCadenceAirflowKmzGisRevitIfc
Parallel

Member of Technical Staff, Retrieval & Indexing

ParallelUnited States

Build and operate large-scale web indexing systems including corpus selection, searchable structures, quality/freshness models, and low-latency query serving. Requires deep expertise in information retrieval and distributed systems.

150k – 300k
On-site7+ YOEBackend Engineering
Addepar

Staff Backend Software Engineer - Platform Integration

AddeparNew York, NY

Seeking a Staff Backend Software Engineer to join the Platform Integrations team, focusing on building client onboarding solutions and data systems. The role involves leading projects, writing well-designed code, and mentoring other engineers.

150k – 234k
On-site7+ YOEBackend Engineering
Parallel

Member of Technical Staff, Developer Integrations

ParallelPalo Alto, CA +1

Designs and builds robust API integrations connecting the platform to third-party AI tools, creating custom nodes, plugins, and connectors. Requires hands-on experience in AI platforms, API debugging, and strong focus on developer experience.

150k – 200k
On-siteBackend Engineering
Shield AI

Staff Engineer, Modeling & Simulation (R4869)

Shield AISan Diego, CA

Develops high-performance C++ models and infrastructure for aircraft simulation pipelines, enabling faster-than-real-time testing and validation for autonomous systems. Requires 7+ years in simulation software with expertise in dynamics, aerodynamics, and modern C++.

150k – 220k
On-site7+ YOEBackend Engineering
Deeptune

Member of Technical Staff

DeeptuneNew York, NY

Develops backend and infrastructure for high-fidelity simulation environments enabling AI agents to learn real-world tasks via reinforcement learning. Requires strong fullstack skills in Python/Go/TypeScript and experience delivering major impact at top companies or as a founder.

150k – 300k
On-siteBackend Engineering