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Build real-time AI systems that power live customer interactions in contact centers, combining LLMs, backend services, and user-facing apps to improve efficiency and revenue.
Customer-facing engineer at an early-stage AI startup who owns end-to-end customer deployments: driving integrations, writing detection logic and evals for AI agents, opening PRs in customer codebases, and feeding learnings back into the product. Core stack is TypeScript plus hands-on production AI agent experience.
First full-time engineer at an early-stage AI startup building tooling that detects AI agent failures and generates patches. You'll own the full loop — ingesting customer conversations, failure detection, patch generation and verification — in an all-TypeScript codebase, while setting the company's engineering culture and standards.
Early-career analyst on AlphaSense's Channel & Customer Research team, sourcing, vetting, and coordinating expert interviews (channel checks and voice-of-customer calls) that give investors real-time market insight. Day to day is expert outreach via email, phone, and LinkedIn, screening calls, building interview guides, and keeping records in CRM tools, leveraging AlphaSense's AI Interviewer platf
Technical Product Manager at PassiveLogic shaping the roadmap for the world's first autonomous building platform. Day to day, they translate buildings/HVAC domain needs into engineering plans, lead multidisciplinary teams, remove roadblocks, and partner with UI/UX and engineering to ship user-centered products.
Builds and maintains identity infrastructure (SSO, MFA, OAuth/OIDC, RBAC/ABAC/ReBAC) for a company powering large-scale AI models with RLHF and human evaluation.
Sales Data Analyst at Intercom (Fin) supporting the Sales Operations and GTM Analytics team: building and maintaining sales data models, dashboards, and compensation/attainment reporting, and analyzing sales performance. Core stack is SQL plus Excel/Google Sheets with BI tools like Tableau, Looker, or Power BI, and an emphasis on AI-assisted analysis.
Forward Deployed Engineer at Datavations, a data/AI analytics platform for the building materials industry. Day to day: manage client relationships, drive end-to-end data implementations, and build data products using SQL/Python, data pipelines, and BI tools like Tableau, Power BI, and dbt.
Build and scale full-stack systems powering Scale AI’s Generative AI Data Engine, using TypeScript, React, Node.js, MongoDB, and Elasticsearch to support LLMs and RLHF pipelines.
Build and scale backend services for a cybersecurity platform that secures AI-driven software development using .NET Core, Kafka, and Kubernetes.
Build and scale a full-stack Generative AI platform using React/TypeScript frontends and Python backends, integrating LLMs and vector databases for enterprise APIs.
Onsite Data Center Technician at CoreWeave's Hillsboro, OR facility who keeps AI cloud infrastructure available and reliable: diagnosing and repairing server and network hardware, performing root-cause analysis, assembling/installing equipment, writing maintenance scripts, and joining a 24/7 rotating on-call rotation. Core tech includes Linux, Python/Bash scripting, and Cisco/Juniper networking.
B2B contract role for an experienced Node.js/TypeScript developer acting as an AI/Prompt Engineer: designing GenAI solutions, building and integrating AI agents into applications and business processes, and using AI dev tools like Claude Code and Cursor. Fully remote, long-term client projects.
First infrastructure hire at an agentic integration platform, working directly with the CTO to own the integration runtime, agent infrastructure, and observability stack (logs, metrics, tracing) while setting architectural patterns and growing into a leadership role. Core stack includes Kubernetes, Docker, AWS, TypeScript, and PostgreSQL.
Full-stack engineer at an early-stage B2B AI customer support SaaS in Munich, owning end-to-end features and building AI-powered capabilities with OpenAI integrations. Core stack: Next.js, React, TypeScript, PostgreSQL/Firestore, Docker/Kubernetes. On-site 5 days/week; visa sponsorship available.
Full-stack engineer at an early-stage enterprise AI platform in Berlin, owning features end-to-end: backend APIs and database design on Node.js, plus frontend integration with React/Next.js and Tailwind, to help organizations roll out AI safely and at scale.
Platform Engineer owning the reliability, scale, performance, and developer experience of core infrastructure at an AI startup. Day to day: build and run AWS infrastructure (Terraform, Kubernetes/EKS, Docker), CI/CD pipelines, observability and on-call, plus backend platform systems and internal tooling.
Lead power delivery architecture and strategy for Cerebras' wafer-scale AI hardware, defining high-current, low-voltage power and thermal solutions for AI accelerators and ASICs from concept through production. Core focus areas include DC-DC conversion, IVRs, PDN/package power design, and vertical power delivery.
Founding Engineer at Kindroid (Beautifully Incorporated) doing core full-stack engineering on the platform — frontend, backend, database, and infrastructure — including building greenfield apps, refactoring the codebase, developing AI fine-tuning pipelines, maintaining GPU clusters, and helping debug customer issues.
Build internal tools and automation (Slackbots, dashboards, APIs) using React, Go, Python, and cloud services to streamline workflows and improve productivity across Scale AI.
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