Build LLM evaluation systems and diagnose agent performance issues across prompts and tools.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation for global brands. Backed by Y Combinator and Index Ventures, the company drives efficiency and higher quality experiences.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Design and implement autonomous agents and multi-agent orchestration systems for complex, open-ended tasks.\n- Build and optimize production-grade LLM applications with a focus on reliability, observability, and low-latency performance.\n- Architect advanced RAG pipelines and vector database strategies to provide agents with accurate, real-time context.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective evaluation. The company operates with a distributed, global-first team culture, emphasizing fairness and innovation in recruitment.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
Design and develop AI models, agents, and workflow automation for clinical terminology and content operations, taking them from experimentation to production.
Build agentic workflows combining LLMs, tools, APIs, and retrieval to complete complex tasks, and implement MLOps practices for reliable deployment.
Partner with data science and clinical teams to productionize existing agents and drive continuous improvement with a focus on auditability and human-in-the-loop review.
IMO Health provides clinical terminology solutions for healthcare organizations, enabling accurate data normalization and interoperability. They are a mid-sized company focused on innovation and collaboration, emphasizing a culture of technical excellence and cross-functional teamwork.
Build and ship agentic features for thousands of developers, including orchestration, tool execution, and context management.
Design and implement the foundation for advanced AI agents that handle billions of dollars in purchase volume.
Collaborate with product and engineering teams to scope, prioritize, and drive rollout of new features.
RevenueCat provides infrastructure and tools for app businesses to manage subscriptions and monetization. They are a remote-first team of 150+ people across 25+ countries, guided by values like Customer Obsession, Always Be Shipping, Own It, and Balance.
Monitor production health across every graph, catching errors and silent failures proactively.
Triage incoming issues, fix small things directly, and route larger problems to the right owner.
Track cost, latency, usage, and build business metrics to show the agent's ROI.
LangChain builds the foundation for intelligent agent engineering, helping developers move from prototypes to production-ready AI agents. With over 100M monthly open source downloads and backing from top VCs, the company is at a stage where all team members have meaningful impact.
Partner with Product Manager and Engineering to shape the Communication Agents roadmap.
Own the client feedback loop and drive product improvements from customer interactions.
Write, iterate, and test agent prompts, scripts, logic, and configurations.
EvenUp is on a mission to close the justice gap using technology and AI by empowering personal injury lawyers and victims to get the justice they deserve. It is a fast-growing vertical SaaS company backed by top VCs, with a culture that values talent, drive, and collaboration.
Own customer solutions end-to-end, rapidly prototyping and deploying agentic AI solutions on the Kinaxis Maestro platform.
Partner with product and engineering to convert field learnings into durable platform capabilities and drive adoption.
Operate as part of a tight, multi-disciplinary unit, trading tasks seamlessly to deliver customer impact.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. With over 2,000 employees and a culture of innovation, we are expanding our team to revolutionize supply chain solutions.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering.
Partner with product and UX to turn ambiguous problems into shipped milestones and make prioritization tradeoffs explicit.
Contribute substantively to technical design for running agents safely and effectively at scale.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and more than 50% of the Fortune 100 trusting them, GitLab fosters a high-performance culture driven by values, continuous knowledge exchange, and AI integration.
Build and maintain intelligent AI agents across the entire customer lifecycle, from campaign ideation to account-based sales support.
Support day-to-day outbound execution including prospect list generation, waterfall enrichment, sequencing, and meeting hand-offs to Account Executives.
Design prompt templates, tool definitions, and RAG pipelines using frameworks like Claude Code and the Claude Agent SDK.
Quorum is the leading provider of workflow software and information services for government affairs professionals globally. The company serves over 2,000 customers, including over 50% of the Fortune 100, across 30+ countries and fosters a culture where people are the product.
Build and own AI-powered workflows, automations, and agents to improve Sales and GTM operations.
Partner with Deal Desk, Product, and business stakeholders to identify high-value use cases and launch secure production tools.
Own the full development lifecycle from prototyping through production scaling, beta testing, and ongoing maintenance.
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers from Fortune 500 enterprises to small businesses, the company fosters a diverse and inclusive workplace culture.
Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.
HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.
Build zero-to-one AI product experiences from early concept through prototype, validation, and productionization.
Work with users, product managers, designers, researchers, and engineers to identify high-impact opportunities.
Use product data, user feedback, and evaluation results to understand what is working and drive improvements.
Cresta unlocks the true potential of customer experience using a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence. Born from Stanford AI Lab, Cresta has raised over $270 million from leading investors like a16z, Greylock, and Sequoia, and serves top companies including United Airlines and Marriott.
Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.
Build and ship AI-enabled applications end to end using LangChain, LangGraph, and LangSmith.
Own technical delivery across the full stack: backend services with Python/FastAPI and modern web UIs with TypeScript/React.
Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. It is a spinout from Equips, a leader in equipment maintenance services, and is rolling out to its first customers.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.