Build reliable APIs, backend services, and document processing workflows for legal work.
Take product features from design through release, collaborating with engineering and legal teams.
Integrate AI capabilities into practical workflows with attention to quality, speed, and reliability.
The company builds software for complex legal document workflows, focusing on reliability and practical tools. The team partners with engineers and legal domain experts, emphasizing collaboration, code quality, and dependable behavior.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
Own and improve the platform that processes customer jobs, focusing on speed, reliability, and resource efficiency.
Partner with machine learning teams to serve models effectively and integrate them into production workflows.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
They build an AI document processing product and operate its platform infrastructure. Company size and culture are not specified, but engineers work closely with ML teams and own platform reliability.
Design, build, and ship production agents end to end, including tools, prompts, context assembly, and frontend experiences.
Maintain evaluations and instrument production to measure acceptance, latency, and cost per agent.
Work with founders, product, and design to solve ambiguous engineering problems across the full stack.
Relativity is a legal data intelligence company building AI-powered software for litigation and investigations. Gavel is a small, founder-led team within Relativity focused on Word-based legal drafting, with a collaborative and innovative culture.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven 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.
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.
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.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Design and build full-stack capabilities supporting AI initiatives across Keeper's product portfolio.
Develop backend services, APIs, and frontend experiences that integrate AI-driven functionality into secure production environments.
Collaborate with AI and product engineering teams to remove technical dependencies and deliver production-ready AI features.
Keeper Security is a cybersecurity software company providing zero-knowledge and zero-trust security solutions that protect passwords, secrets, and infrastructure. It is a fast-growing global organization trusted by millions of users and thousands of enterprises, with a culture focused on innovation and reliability.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.
Build production web apps and backend services for complex data models and database interactions.
Integrate with CRM and ERP systems to keep data flowing cleanly between Pursuit and customer tools.
Design scalable architecture and use off-the-shelf models to extract structured data from millions of sources.
Pursuit uses AI to scan millions of public documents and surface contract opportunities for companies selling to the public sector. It is a remote-first startup backed by top investors that values urgency, critical thinking, and direct communication.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Implement features that improve MDLinx and drive user impact, with ownership growing over time.
Apply software engineering best practices including automated testing, clean code, and peer review.
Read AI-generated plans and code critically, and identify work for AI-assisted automation.
M3 is a Japanese global leader in healthcare technology and research solutions, operating physician websites with over 5.8 million members. MDLinx, an M3 company, focuses on transforming pharmaceutical brand promotion through omnichannel engagement.
Own the architecture and evolution of APADCode's core backend platform and stateful AI interviewer runtime.
Design event-driven systems, coding execution infrastructure, and asynchronous pipelines for AI evaluation.
Build production-grade reliability, observability, and security across service boundaries and deployment workflows.
APADCode is an early-stage AI startup building live, adaptive technical interview infrastructure for evaluating software engineers. It is a small, founder-backed team focused on real hiring workflows and direct collaboration.
Build AI agents that take action: tools, prompts, guardrails, and multi-turn workflows with memory.
Ship the full experience: in-product chat, streaming responses, permission-aware APIs, and MCP server.
Make quality measurable: build evals, catch regressions, and use production feedback to improve quality, latency, and cost.
Muck Rack builds an AI-powered PR platform that helps organizations understand their brand across news, social media, and AI answers. It is a founder-controlled, fully distributed firm trusted by 3,000+ organizations, with an inclusive, customer-first culture.