Build and evolve Superhuman Mail's MCP layer with new tools, standards, and agent capabilities.
Design and ship agentic workflows and personalization features at scale.
Build evaluation systems to measure LLM quality and choose the best models for each task.
Superhuman is an AI productivity platform that brings AI into the tools people already use, including writing, collaboration, and email. Founded in 2009, it serves over 40 million people and 50,000 organizations with a focus on eliminating busywork and fostering a tight-knit, high-performance culture.
Build and evolve Superhuman Mail's MCP layer with new tools and standards.
Design and ship agentic workflows and personalization features at scale.
Build evaluation systems that measure quality and catch regressions as AI changes.
Superhuman is an AI productivity platform integrating with over 1 million apps to eliminate busywork. Founded in 2009, it empowers 40 million people and 50,000 organizations with a tight-knit, collaborative culture.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Build full-stack AI applications using TypeScript, React, Node.js, Python, or Go.
Design agentic workflows and LLM integrations for production systems.
Collaborate with clients to deliver scalable, intelligent solutions.
A remote-first digital product engineering company building innovative AI-powered applications for startups and enterprises. The team values knowledge sharing, continuous learning, and practical problem-solving.
Prototype AI applications quickly to explore new opportunities in data and marketing workflows.
Work with a small team to develop and ship product ideas, laying the groundwork for new capabilities.
Build production data agents that use company data to answer analytics and data science questions.
The company is a Series D marketing technology firm building AI-powered tools for data and marketing workflows. It operates with a high-velocity product culture, typical of growth-stage startups, and values quick prototyping and production-grade engineering.
Build and maintain TypeScript and Python backend services and REST APIs.
Design batch data pipelines and build LLM features end to end, including prompts, retrieval, structured outputs, and evaluation.
Containerize, deploy, and monitor services in the cloud while collaborating with cross-functional partners to ship in small increments.
CrowdHealth is a community-powered alternative to health insurance, enabling individuals to access and fund healthcare with transparency, simplicity, and control. It is a small, mission-driven team focused on rewriting the rules of healthcare and helping members live boldly without the fear of medical bills.
Act as the technical bridge between enterprise customers and core engineering, designing APIs, SDKs, and workflows.
Architect production-ready AI infrastructure for LLM inference, RAG pipelines, and GPU-accelerated workloads.
Write production-grade Go, Python, and TypeScript while shaping product strategy and mentoring engineers.
The hiring partner builds modern developer platforms and AI infrastructure that help enterprises ship AI-native applications. The team culture emphasizes hands-on technical excellence and collaboration; company size is not disclosed in the posting.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
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.
Own the AI that assesses patients for US mental healthcare, from conversation to treatment recommendation.
Build evaluation harnesses and simulated patient conversations to test every configuration before deployment.
Raise the engineering bar through architecture, code review, and mentorship while ensuring regulatory compliance.
Limbic develops AI mental health chatbots for patient assessment and therapy, with clinical validation and FDA/NHS adoption. The company has supported over 820,000 patients and emphasizes safety, science, and an inclusive culture.
Develop and enhance AI-powered features across existing products using LLMs and modern AI frameworks.
Integrate conversational AI, voice AI, and RAG pipelines into production applications.
Collaborate with product teams and AI scientists to improve AI quality and ensure scalability and performance.
Pleased provides customer service software (SaaS) to clients worldwide. The company has a remote development team in Europe with around 30 employees and is expanding, with a fast-moving startup culture that values ownership and collaboration.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate LLMs and traditional ML models into performant, scalable architectures.
Write clean, well-structured, and testable Python code following best practices.
NovoEd is a fast-growing product company integrating cutting-edge AI capabilities into its core offering to stay competitive and deliver exceptional value to customers. It is a small, fast-moving team with high autonomy.
Be the AI/ML subject matter expert, shaping strategy and best practices.
Implement AI/ML solutions, write clean code and unit tests, and create documentation.
Collaborate in an Agile team with 2-week sprints, participating in code reviews and client meetings.
Smile Digital Health provides a FHIR-based data liberation platform that helps healthcare stakeholders collect and exchange data, used in over 20 countries. They foster a culture of respect, inclusion, and belonging, valuing diversity and empowering employees to bring their authentic selves to work.
Prototype and test ideas for applying AI to data and marketing workflows.
Develop and ship production-ready AI applications in close collaboration with product and engineering teammates.
Make architectural and framework decisions for LLM-based systems and build data agents that answer analytics questions.
This is a Series D marketing technology company focused on building AI experiences that help teams use data to improve marketing workflows. They are a small, fast-paced product and engineering team within a venture-backed startup environment.
Design and develop core software infrastructure for privacy-preserving AI evaluations using Python and secure computing technologies.
Build and maintain secure enclave solutions and Trusted Execution Environment technologies for confidential computing.
Scale the platform from initial deployment to multiple implementations, owning major engineering components and improving reliability and user experience.
This organization develops software infrastructure for privacy-preserving AI evaluations, enabling independent assessment of advanced AI models. It is a global, fully remote, mission-driven nonprofit team focused on AI safety.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.