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.
Identify high-impact opportunities to improve software development with AI, partnering with engineering teams.
Design, build, deploy, and operate production-grade AI tooling and agentic workflows.
Build shared AI infrastructure and evaluation frameworks to measure impact on productivity.
GameChanger builds a platform to experience youth sports moments, helping families elevate the next generation. They are a remote-first tech company with a dynamic culture focused on community and innovation.
Design, build, and ship full-stack applications for admissions, events, and internal operations.
Develop semantic search and AI features using embeddings, natural language queries, and large datasets.
Work directly with operational teams to understand needs and make practical product and engineering tradeoffs.
A venture capital and startup accelerator organization that builds software for founders and internal teams. It operates as a small product engineering team with a collaborative, low-ego culture.
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.
Rebuild the existing product into infrastructure designed to support significant growth.
Design and operate agent systems, including orchestration, memory, and verification.
Own projects end to end across backend, infrastructure, frontend, and AI agents.
Early-stage AI company building reliable infrastructure for AI-powered service businesses. It is an early-stage startup at the first-engineer stage, so you'll work directly with the founder to shape architecture and engineering culture.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable AI agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company builds infrastructure that helps enterprises make AI agents more reliable in production. It is a technical and research-focused team working on AI methods and practical systems.
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.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Design and build AI-powered agents and intelligence layers for internal business units.
Own solutions end-to-end from scoping and prototyping through deployment and adoption.
Partner with stakeholders and engineering teams to translate ambiguous problems into production software.
Juniper Square is a private markets operations platform that unifies technology, data, and fund administration services for 2,300+ GPs. With 1,000+ employees and $300B+ under administration, the company is founder-led, well-funded, and built for ambitious problem-solvers.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems.
Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance.
We are a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms with production-grade engineering discipline.
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.
Drive adoption of Tenstorrent's AI products by collaborating with enterprise customers and the sales team.
Provide technical expertise in AI/ML to translate complex concepts for non-technical stakeholders.
Partner with sales operations and product teams to shape future product enhancements from customer feedback.
Tenstorrent is an AI technology company developing high-performance RISC-V CPUs and AI platforms. The diverse team of technologists values collaboration, curiosity, and solving hard problems.
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.
Own the intelligence layer of Project Interstellar, building production LLM systems for document intelligence, voice agents, and task orchestration.
Design and maintain prompt engineering infrastructure, model abstraction, RAG layers, and agent orchestration frameworks.
Partner with engineering and domain experts to integrate AI capabilities into a HIPAA-regulated platform from the ground up.
Certum Legal Solutions is a legal managed services organization that provides operational infrastructure, technology, and back-office solutions for personal injury law firms. The company is building a proprietary AI-native system and is assembling a high-caliber team in a greenfield, fast-paced environment.
Design and implement agentic workflows combining LLM reasoning, structured data, and external tools to accelerate new product delivery.
Lead experimentation with multi-step reasoning, RAG, tool orchestration, and emerging paradigms to improve analyst workflows.
Shape Apptopia's long-term AI strategy and core modeling efforts, from AI-native systems to LLM-derived features and ensemble methodologies.
Apptopia provides actionable competitive intelligence to investment firms and financial institutions by estimating worldwide downloads, revenues, and active users for every mobile app, plus app user behavior insights. It's a high-growth startup backed by Mark Cuban and ABS Capital, serving clients like Google, Facebook, and top hedge funds with an intuitive business intelligence tool.
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.
Own client engagements from pre-sales through launch and post-launch support.
Design and build production AI agent systems integrating with healthcare platforms.
Lead technical sessions and present solutions to executive stakeholders.
This company provides AI agent deployments for healthcare and life sciences organizations, focusing on production systems. The team works directly with clients from solution design through launch, emphasizing collaboration and technical excellence.
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.