Design and develop Privacy APIs and backend infrastructure for large-scale data and privacy workflows.
Own integration with third-party and internal data platforms (e.g., data warehouses, REST/GraphQL services, message queues).
Ensure system reliability, performance, and maintainability.
Skyflow secures the flow of data across datastores, models, and agents. Skyflow is trusted by Fortune 500 enterprises and headquartered in Palo Alto, California, founded in 2019.
Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Own AI features end-to-end, from agentic workflows and RAG pipelines to production infrastructure.
Build evaluation frameworks and experimentation loops to turn models into reliable, production-grade systems.
Partner with product and domain experts to push the frontier of AI capabilities inside an ERP.
DualEntry builds an AI-native ERP that automates manual data entry for accounting teams, serving companies from $5M ARR to NYSE-listed firms. It is a small, fast-growing startup with a culture of urgency and ownership, backed by top venture capital firms.
Design, build, and maintain full-stack features across a Python/Flask backend and a TypeScript/React frontend.
Build and maintain integrations connecting Mayhem with customer systems, security tools, and workflow engines.
Ensure high accessibility, stability, and performance across integration workflows.
Bugcrowd empowers organizations to stay ahead of threat actors by uniting a trusted hacker community with a patented AI-driven Security Knowledge Platform. The company is backed by General Catalyst and Rally Ventures, with offices in San Francisco and New Hampshire, fostering a diverse and inclusive culture.
Design and deploy autonomous AI agents to automate construction and estimation workflows.
Build agentic AI workflows using LLM frameworks such as LangChain, LangGraph, and Claude Code.
Integrate AI applications with cloud platforms and optimize system performance for scalability and reliability.
The company develops AI-driven solutions for construction and estimation workflows. It is a stable and growing organization that values continuous learning and innovation.
Lead the development of multimodal capabilities for next-generation AI systems.
Own the multimodality roadmap and drive adoption across AI models.
Design and execute experiments across the full research lifecycle.
They develop advanced AI systems with multimodal capabilities for software development and complex problem-solving. The team is collaborative, remote-first, and focused on innovation and research excellence.
Lead end-to-end development of scalable, customer-focused software features.
Architect and implement backend APIs and modern frontend applications.
Mentor engineers and contribute to engineering best practices and documentation.
The company builds enterprise SaaS solutions that help organizations operate with greater clarity, efficiency, and confidence. It is a fast-growing, remote-first organization with a collaborative culture and employee resource groups.
Design and deliver enterprise-level Workday solutions using Java, TypeScript, and Python.
Collaborate with clients and technical teams to transform business requirements into scalable integrations.
Work fully remote from Canada on impactful projects for leading organizations.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company values autonomy, ownership, and continuous improvement in a collaborative and supportive engineering culture.
Develop and maintain scalable Go code for AI/ML components within a cloud platform.
Design and improve AI/ML services ensuring reliability, performance, and maintainability.
Collaborate with cross-functional teams to translate requirements into technical solutions.
Jobgether uses AI-powered matching to connect candidates with roles. They are a remote-first company with a focus on efficient and fair hiring processes.
Work directly with customers to understand how consequential work gets done and turn rough problems into working AI-native products.
Build across frontend, backend, infrastructure, tools, memory, retrieval, evals, and observability, designing token-efficient agent loops.
Harden the last mile: handle permissions, missing information, forms, handoffs, retries, approvals, exceptions, and recovery to make agents dependable in real firms.
Rowan builds AI-powered systems that automate complex workflows for financial services firms, focusing on dependable execution rather than just generating answers. As a small, fast-moving team, they emphasize craftsmanship, customer proximity, and iterative building.