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.
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.
Build production Agentforce agents including topics, actions, grounding, guardrails, and evaluation harnesses.
Implement actions across Flow, Apex, prompt templates, and external APIs, grounding answers in Data 360.
Design guardrails against prompt injection and data leakage, and run evaluation and regression tests before changes.
AspenView Technology Partners builds high-performing nearshore IT teams for North American clients, focusing on innovation and efficiency. They are a people-first, purpose-driven company that believes great culture drives great outcomes.
Design, build, and deliver backend systems and APIs in Go with a focus on clarity and maintainability.
Build and maintain full-stack product features using React, TypeScript, and Go.
Provide technical leadership on multi-team projects, mentoring engineers and shaping roadmaps.
Honeycomb is a modern observability platform that helps developers understand and debug complex distributed systems. With over 200 employees and Series D funding, it's a fully distributed, inclusive company that values impact, autonomy, and humility.
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.
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, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.
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.
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.
Build production-grade agentic workflows to automate fan issue triage, seller risk monitoring, and marketplace optimization.
Coach non-technical teammates to use AI tools and create their own automations.
Own the full lifecycle of built solutions, from design to production, and scale successes across operations teams.
Gametime makes it easy for people to discover and access live experiences, with platforms supporting over 60,000 events across the US and Canada. They are a mid-sized company focused on reimagining the event ticket industry, with a culture that emphasizes inclusivity and innovation.
Design and implement the core AI agent runtime in Python, including orchestration loops, tool definitions and execution, memory and context management, and failure handling.
Build and maintain evaluation datasets, automated evaluators, LLM-as-judge pipelines, and regression tracking to ensure agent quality and performance.
Develop Python and Node.js microservices for agent hosting and LLM interactions, and build reliable Laravel/PHP APIs for integration.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities, partnering with companies to manage applications and next steps. They emphasize a fast-growing, collaborative environment with a focus on professional growth and cutting-edge technology.
Own the technical direction of a product area, defining how teams specify, delegate, and verify agentic work.
Set standards for specification quality, verification, and security architecture to keep AI-generated work safe at scale.
Mentor engineers across teams and drive large-scale initiatives combining human and agentic contributors.
BambooHR builds a people intelligence platform that transforms HR for small and mid-sized businesses. The company is a values-driven market leader with a culture that champions growth, flexibility, and meaningful work.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Build tooling for capturing and processing data from agents and humans at significant scale.
Solve hard problems around compute, orchestration, scaling, security, and reliability.
Help develop approaches for training, benchmarking, and evaluating AI agents.
Prolific builds human data infrastructure for AI development, connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. They are a mission-driven company at the forefront of AI innovation, with a remote culture and a focus on impactful work.
Own the build out of new agents, skills, and platform capability for teams across TLDR.
Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.
Partner with stakeholders across sales, editorial, and people ops to find where an LLM belongs in their process.
TLDR runs the largest network of tech newsletters in the world, with over 8 million subscribers covering startups, software engineering, AI, and more. Our 31-person full-time team is bootstrapped, profitable, and on track for $35M in revenue this year, with a culture of owning functions rather than slices.
Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more.
Design tool interfaces and context systems to give the agent semantic understanding of cloud resources and access to engineering workflows.
Create feedback loops, self-correction mechanisms, and evaluation frameworks to ensure reliable autonomous operation.
Pulumi is reimagining how teams build cloud software, enabling developers and infrastructure experts to work better together through a unique combination of programming languages, tools, and systems innovation. With a global community of over 350,000 members and serving more than 3,250 customers, Pulumi is a remote-first company that fosters a culture of innovation and inclusion.
Own the technical thesis for validating agent-generated software and build early proof of concept.
Design mid-loop feedback mechanisms that help agents self-correct toward working software.
Collaborate with engineering teams to adopt and measure trust in agentic development.
GitLab is an intelligent orchestration platform for DevSecOps that enables organizations to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. With over 50 million registered users and trust from more than 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Lead the design and delivery of AI/ML systems, defining architecture and establishing engineering standards for agentic workflows.
Build and maintain RAG pipelines, agentic workflows, and production system prompts with eval and observability.
Mentor engineers and take end-to-end ownership of features, including debugging and hardening production systems.
Robots and Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. They are a company where every role contributes directly to integrating AI into enterprise operations, with a culture that values ownership, craft, and measurable impact.
Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring 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 managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.