Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Oversee customer-facing AI agent projects where MongoDB engineers collaborate with enterprise teams to build, deploy, and demonstrate working agents on MongoDB’s platform.
Build internal tooling and evaluation systems for AI agents, including CLIs, libraries, and CI workflows that validate, monitor, and improve agent skills and behavior.
Builds and maintains internal tooling, evaluation systems, and CI workflows for MongoDB's agent skills platform, focusing on developer tools and applied AI quality gates.
Build core AI interfaces for MongoDB, including the MCP Server and Agent Skills, enabling developers and AI agents to interact seamlessly with MongoDB at scale.
Lead engineering teams building AI-powered solutions for enterprise transformation programs, working directly with customers to design and implement AI agents, analytical workflows, and enterprise applications.
Lead a team building Klaviyo’s Customer Agent, a conversational AI system that powers real-time, scalable customer interactions for ecommerce brands using orchestration, evaluation, and guardrail systems.
Lead the architecture and development of Klaviyo's AI-powered Customer Agent, a conversational system that enables brands to engage with customers at scale using LLM-driven workflows, retrieval systems, and real-time personalization.
Build and maintain AI-first detection and response systems, automate threat hunting, and lead incident response for a fast-growing SaaS platform.
Build AI-powered developer tools and agentic applications as a Microsoft intern, collaborating on cutting-edge ML projects and applying responsible AI practices.
Build AI-powered products and platforms using machine learning, LLMs, and intelligent services alongside Microsoft’s engineering and product teams.
Build AI-first backend software focusing on scalable services, data pipelines, and APIs to enhance AI-driven discovery. The engineer designs architectures, ensures reliable data workflows, and collaborates with customers to prototype solutions.
Build and operate large-scale data transfer pipelines for petabytes of sensor data using Python, Flyte, Kafka, and Azure to support autonomous vehicle AI model training.
Build and operate an AI agent platform for conservation and climate teams, designing APIs, SDKs, and observability tools while shipping real-world agents for users like NASA JPL and Global Mangrove Watch.
Builds a secure, AI-powered web platform for medical researchers using React, TypeScript, and Python/Go backends on cloud infrastructure.
Build and ship production GenAI features—LLM integration, prompt engineering, RAG, and conversational interfaces—so business users can plan and decide with AI inside Anaplan’s platform.
Builds and scales AI data infrastructure and evaluation systems for frontier AI models, using modern full-stack tools like React, TypeScript, Python, GCP, and Kubernetes.
Intern in cybersecurity at an AI-data platform company, helping secure cloud infrastructure, apps, and compliance workflows while learning vulnerability management, IAM, and SIEM operations.
Build and run reinforcement-learning environments, verifiers, and fine-tuning pipelines that train and evaluate frontier AI agents, using Python, Kubernetes, and GCP.
Manage large-scale enterprise software and SaaS programs for an AI product vendor in financial services, overseeing cloud migrations, budgets, and senior stakeholders to ensure delivery of complex technology solutions.
Senior Solutions Architect role designing complex cloud-native platforms for banking and financial services, focusing on Kubernetes-based environments and enterprise integration patterns.
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