Top Tech Jobs & Startup Jobs

Own the technical development and administration of an enterprise AI collaboration platform. Build production AI agents, workflows, integrations, APIs, connectors, and RAG solutions across Slack, Google Workspace, Glean, Claude, and ChatGPT. Ensure security, permissions, governance, reliability, evaluation, and monitoring. Lead architecture reviews, establish engineering standards, troubleshoot complex issues, mentor contributors, and advise leadership on emerging AI capabilities.

Own the technical development and administration of an enterprise AI collaboration platform spanning Slack, Google Workspace with Gemini, Glean, Claude, and ChatGPT. Design and deploy production AI agents, MCP and API integrations, RAG solutions, connectors, workflows, and automations. Ensure security, permissions, governance, reliability, evaluation, monitoring, and data grounding. Establish engineering standards, troubleshoot complex platform issues, lead technical reviews, mentor contributors, and advise leadership on emerging AI capabilities.

Author and QA AI-driven automations for defined healthcare workflows, execute accurate high-volume automation tasks, provide support, and maintain technical and process documentation. The role contributes to application and developer-tooling improvements while collaborating remotely with product, engineering, and QA teams through GitHub, Slack, and JIRA. This is a three-month contract with potential extension.

Owns BI product management for Quote-to-Cash and Order-to-Cash processes. The role connects financial and operational pain points to BI, AI, and machine learning opportunities; develops PRDs, roadmaps, and business requirements; partners with finance, legal, sales, product, delivery, and engineering teams; and ensures quoting, deal structuring, billing, and revenue recognition processes are accurately represented in downstream data products.

Own applied computer vision and machine learning development, translating business problems into scalable solutions. Build, fine-tune, evaluate, and deploy models for object detection, segmentation, classification, video analysis, forecasting, anomaly detection, regression, clustering, and data analysis. Account for camera, sensor, lighting, and edge-device constraints to ensure robust production performance.

Author and quality-assure AI-driven automations for defined healthcare workflows, execute accurate high-volume automation tasks, provide support, and maintain technical and process documentation. The role also contributes to application and developer-tooling improvements while collaborating remotely with product, engineering, and QA teams through GitHub, Slack, and JIRA. This is a three-month contract with potential extension.

Build scalable full-stack applications for merchant processing, compliance automation, and AI-enabled operational tools. Develop React frontends and C#/.NET backends, design APIs and data flows, contribute to Azure cloud infrastructure, implement automated testing and secure software practices, and support Azure-hosted LLM solutions. The role also involves architecture contributions, AI-assisted coding, code reviews, operational delivery, and establishing development practices in a fast-growing engineering organization. Daily onsite work in Irvine, California is required.

Own the technical design and delivery of an enterprise AI collaboration platform spanning Slack, Google Workspace, Glean, Claude, and ChatGPT. Build production AI agents, RAG integrations, APIs, connectors, workflows, and secure enterprise integrations. Establish standards for development, testing, deployment, governance, and security; administer platforms; troubleshoot complex issues; evaluate solution quality and safety; lead technical reviews; mentor contributors; and advise platform leadership on emerging AI capabilities.

Build and maintain full-stack features for a production healthcare platform using React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC services. Contribute to AI and LLM-adjacent systems, handle sensitive regulated data, and collaborate with product, QA, and design teams in an Agile environment. The role is remote-friendly and contract-to-hire.

Architects and builds automated application security layers across the SDLC for a large financial services program. Integrates and tunes SAST, DAST, and SCA tools within enterprise CI/CD pipelines, develops AI-enabled secure code scanning and hardened baselines, automates secure coding patterns and security runbooks, and reviews Java and Python code to provide detailed remediation guidance. The role also supports threat modeling and AI-assisted vulnerability triage.