Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own agent work from rough prototype to production, including evals.
Extend the agentic workspace with new canvas capabilities, MCP server, and skills.
Honeycomb provides an observability platform that helps engineers understand and debug complex systems. It is a fully distributed company of over 200 people, with a culture that values impact, autonomy, and inclusivity.
Partner with department leaders to identify and automate high-leverage business workflows end to end.
Deliver working AI systems with evaluation, monitoring, and adoption plans rather than prototypes.
Build shared patterns for model access, orchestration, and safety, and help the company become fluent in AI.
Honeycomb builds an observability platform that helps developers understand and debug complex systems, serving companies like Slack and HelloFresh. With 200+ employees and Series D funding, it's a fully distributed company that values trust, autonomy, and inclusiveness.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
Own end-to-end development of AI observability features, from ingestion to visualization.
Architect data models and infrastructure for observing AI agents across Honeycomb.
Partner with product and design to build intuitive workflows and share best practices.
Honeycomb is an observability platform that helps developers debug complex distributed systems, serving customers like HelloFresh and Slack. The company has surpassed 200 employees, closed Series D funding, and fosters a distributed-first, inclusive, and high-trust culture.
Design and architect next-generation AI agents for observability that transform incident investigation and remediation.
Drive technical direction, architecture, and best practices using AI/ML models to reduce mean time to resolution.
Collaborate with cross-functional teams and mentor engineers to deliver secure, scalable features.
ServiceNow is an AI platform that connects AI, data, and workflows to help enterprises work smarter and faster. The company serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Build and ship end-to-end features for cloud integrations and observability applications, spanning frontend, backend, dashboards, and alerts.
Work with TypeScript/React, Go, and Jsonnet, owning projects from concept through production.
Contribute to open-source observability technologies like Prometheus and OpenTelemetry, and participate in on-call rotations.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It operates with a remote-first, globally distributed team, and focuses on transparency and efficient hiring.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
They are an early-stage AI infrastructure startup building scalable infrastructure for AI-powered service businesses. As the first engineer, you'll work directly with the founder in a fast-moving, ownership-driven culture.
Build and deliver full-stack and AI-powered solutions using Python, AWS, Azure, and Claude.
Work directly with business users to understand needs and iterate on collaborative solutions.
Implement RAG and agent-based capabilities with testing and evaluation to ensure quality.
The partner company focuses on delivering practical AI-powered solutions to clients across industries. It fosters a collaborative culture centered on innovation, learning, mentorship, diversity, and inclusion.
Own the technical vision and architecture for cresta.com, including CMS evolution, component systems, and localization infrastructure.
Develop, configure, and deploy custom AI agents on Cresta's platform for marketing use cases, taking them from prototype to production.
Partner with brand, design, and marketing ops to instrument GTM stacks and ship SEO/AEO programs with solid engineering practices.
Cresta unlocks the potential of customer experience by using an AI platform with conversational agents, human augmentation, and conversation intelligence. Founded from Stanford AI Lab with over $270M in funding, the company works with leading enterprises and is driven by a culture of innovation and AI-native thinking.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Build and maintain scalable backend services, distributed systems, and APIs for the AgentControl product.
Collaborate with product managers, designers, and engineers to improve GenAI workflows and drive architecture decisions.
Take ownership of production code, participate in on-call rotations, and optimize performance, reliability, and scalability.
LaunchDarkly is a feature management platform that helps developers deliver and control software features safely. The company values humility, collaboration, and diversity, and is committed to building a high-trust, transparent team.
Lead the AI Core team as Staff AI Engineer, setting technical direction for Compass, the AI agent platform.
Architect multi-agent systems, own MCP/A2A integrations, and drive agent orchestration, evaluation, and observability.
Oversee large-scale technical projects, mentor engineers, and champion AI-assisted development across the organization.
Basis empowers agencies and brands with software that automates digital media operations, including planning, reporting, and financial reconciliation. Headquartered in Chicago, it is a top workplace with a culture focused on inclusivity and growth.
Build product-facing tools for browsing environments, inspecting trajectories, and understanding model behavior.
Develop vendor-facing workflows to create, submit, test, and iterate on RL environments and training data.
Create dashboards and observability tools surfacing environment quality, eval results, and pipeline health.
This company builds a reinforcement learning data engine for frontier AI labs, creating and iterating on training data. They have offices in San Francisco and Singapore, offering a culture that values independence and high agency.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Own big parts of the marketplace, including storefront, course platform, and recommendation systems.
Experiment with the latest agentic coding tools.
Work remotely in a close-knit team with a high degree of ownership.
Maven is a marketplace for practical courses taught by top experts, with a cohort-based model that achieves 80%+ engagement. They have 500+ live courses, $100M+ earned by experts, and a small, high-trust team of 20.
Lead design and deployment of enterprise-scale AI and data solutions.
Architect LLM and agentic AI workflows using frameworks like LangChain and n8n.
Partner with teams to deliver secure, compliant, and innovative solutions.
U.S. Financial Technology operates the largest mortgage securitization platform in the world, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities and combines financial services expertise with leading technologists.
Lead a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Prototype and evaluate AI applications for data and marketing workflows.
Develop production data agents and backend services with Node.js and TypeScript.
Design AI-assisted experiences and choose AI architectures for real user workflows.
The company builds AI capabilities for B2B marketing and data workflows, helping users turn customer data into useful insights and actions. It operates like a small, high-velocity startup team focused on shipping production-ready AI products.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.