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AI Engineer owning 'Dougie,' an agentic AI harness for institutional real estate workflows — building memory layers, wiring grading into execution, improving agent orchestration (planning, tool use, recovery), and reducing human-in-the-loop time in production.
Location: In-person, 5-6 days a week in our office in Rincon Hill, San Francisco (Travel Required) Company Overview: Wonderschool is harnessing the power of technology to provide comprehensive support to child care…
Owns delivery of child-care licensing and subsidy programs for state and enterprise clients, coordinating timelines, acceptance criteria, and change control across Wonderschool’s product and engineering teams.
Senior Flight Software Engineer at Relativity Space developing safety-critical flight software for the Terran R rocket, focusing on real-time control systems, telemetry, and integration with vehicle systems. Core technologies include Rust, C++, Linux, and networking (TCP/IP, UDP).
Develops safety-critical embedded Linux software for rocket avionics, focusing on networking, video, and hardware integration for real-time flight systems.
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Design, implement, and deploy production-ready agentic AI systems using LLM reasoning, RAG, and multi-agent orchestration with Python and AWS, applied to semiconductor design workflows.
Lead/Senior/Staff QA Engineer owning quality for LLM-based AI agent systems in heavy industry, designing evaluation frameworks, golden datasets, and regression suites using Python and tools like LangSmith or promptfoo.
QA Engineer owning evaluation frameworks for non-deterministic LLM-based AI agent systems in heavy industry, building golden datasets, regression suites, and adversarial tests using Python and eval tooling integrated into CI/CD.
Build reinforcement learning environments that evaluate AI models on software tasks (bug fixing, refactoring, etc.) using MCP tools, designing reproducible environments and deterministic verification systems.
Senior Full Stack Engineer building and modernizing a Laravel/Vue.js SaaS platform for coworking and flex space operators, while developing AI-powered agentic features using LLM pipelines and Python.
Architect scalable backends and ship production LLM agents for an AI organizational memory system in an early-stage startup, setting technical direction alongside the founding team.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
Part-time remote contractor building reinforcement learning environments to evaluate AI models on software tasks using MCP tools, handling bug fixes, feature development, refactoring, and performance optimization.
Senior Backend Engineer (contractor, ~15 hrs/week) building reinforcement learning environments to evaluate AI models on software tasks like bug fixing, refactoring, and feature development using MCP tools.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Senior Software Engineer developing 3D design algorithms for additive manufacturing (3D printing) using Python, Java, C++; works in agile environment, collaborates with R&D on experiments and data integration.
Frontend developer at a Montreal startup building with Next.js, React, TypeScript, Tailwind CSS, and Framer Motion, shipping to production weekly in a hybrid role.
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