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Senior Fullstack Engineer building agent-enabled applications and backend automation using Python (FastAPI) and frontend technologies (React/Vue), while integrating AI-driven solutions with LLMs.
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.
Build reinforcement learning environments for software engineering tasks using Model Context Protocol (MCP) tools, designing reproducible environments, deterministic verification, and reference solutions for bug fixing, 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.
The Principal Full-Stack Developer will lead the technical direction of a global authorization layer and registration portfolio using Java and React. This role involves designing distributed systems, mentoring engineering teams, and ensuring security and scalability across mission-critical applications.
GTM software engineer building and owning production systems for revenue operations—lead routing, pipeline tooling, scoring workflows, and data layers integrated with CRM, product, and billing systems—while dogfooding Hyperbound's AI sales platform internally.
Bridge legal, security, and policy requirements into real technical controls and documentation for engineers at Firecrawl, an AI web-scraping infrastructure startup. The role demands fluency in both engineering and compliance, with AI tooling as a hard requirement.
Build and scale a serverless GPU container sandbox infrastructure across NVIDIA, AMD, TPU and Trainium for an AI compute startup's compiler and model training workloads, using Go/C++/Rust, gVisor, and low-level Linux systems engineering.
Pre-Sales Engineer for a vector database company in the AI infrastructure space, helping prospects evaluate the product via PoCs, architectural guidance, and demos on the US West Coast.
The AI Solutions Architect translates customer requirements into concrete AI solution designs and reference architectures while coordinating proof-of-concept engagements. This pre-sales role works with executive and consulting teams to deliver scalable AI solutions.
The Principal Solution Architect will lead the strategy and delivery of data center and AI infrastructure projects while managing a team of architects and analysts. The role focuses on driving revenue growth through high-impact technical solutions and executive-level partnerships.
Program Manager coordinates marketing initiatives like product launches and campaigns, ensuring on-time execution and cross-functional alignment in a fast-paced, AI-focused company.
Build, operate, and improve production agentic AI systems for an AI-native HR platform, focusing on agent reliability, observability, and scaling LLM-powered workflows using Python, Django, RAG, and full-stack tooling.
Full-stack AI engineer working across Python backend, LLM/AI pipelines (prompting, RAG, orchestration), infrastructure (CI/CD, cloud), and frontend for Typewiser, an applied AI document intelligence platform.
The Staff DevOps Engineer will design, deploy, and maintain scalable infrastructure for AI model training and inference using Kubernetes, Pulumi, and Terraform. The role focuses on building resilient, observable platforms to accelerate simulation workflows and improve developer velocity.
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