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.
Embed with customers to understand workflows, constraints, and success measures, then turn operational problems into technical plans.
Design, build, and deploy AI agents that integrate with customer tools, data, and business processes from prototype to production.
Measure real-world impact, iterate based on evidence, and share reusable patterns across deployments.
DehazeLabs transforms complex enterprise workflows into AI agents that operate in real-world environments. The company is a growing startup focused on applied AI, with a culture that blends engineering, product, and customer delivery.
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.
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, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
Design and build enterprise-grade agentic AI platforms and LLM-powered applications.
Define reference architectures for RAG pipelines, multi-agent orchestration, and enterprise integrations.
Implement observability, guardrails, and responsible AI practices for production deployment.
Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies on digital adoption. It employs world-class professionals known as 'Brillians' and has earned Great Place to Work® certification repeatedly.
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.
Advise enterprise customers on agent architecture and evaluation strategies.
Build and co-build production agents across the full Agent Development Lifecycle.
Embed within customer teams to ship agent systems directly as a deployed engineer.
LangChain makes intelligent agents ubiquitous by providing open-source frameworks and a platform for building, evaluating, and deploying AI agents. With $125M Series B funding and a growing team, we serve 35% of the Fortune 500 with a culture of impact and collaboration.
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.
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.
Design and build production-grade agentic AI systems for marketing and customer experience.
Architect agent workflows with reasoning, tool use, retrieval, and performance monitoring.
Evaluate emerging frameworks like LangGraph and LangChain for enterprise applications.
The company specializes in developing production-grade agentic AI systems for enterprise marketing and customer experience. It fosters a remote-first, collaborative culture focused on innovation and technical excellence.
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.
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.
Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own agent work from rough prototype to production, including evals.
Extend the agentic workspace with new canvas capabilities, MCP server, and skills.
Honeycomb provides an observability platform that helps engineers understand and debug complex systems. It is a fully distributed company of over 200 people, with a culture that values impact, autonomy, and inclusivity.
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.
Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.
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, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Own the application engineering strategy and execution across backend, mobile, and desktop.
Design reliable systems for AI-powered workflows, including state, orchestration, and failure handling.
Lead a small senior engineering team, providing mentorship and raising technical standards.
The company develops AI-powered email applications, integrating machine learning to enhance productivity. The engineering team is small and senior-focused, with a culture of ownership and high standards, operating fully remotely.
Design and deploy enterprise-grade AI solutions, autonomous agents, and multi-agent systems.
Build production-ready AI capabilities using LLMs, LangChain, AutoGen, CrewAI, and MCP.
Collaborate across squads to ensure consistent architectural standards and MLOps/AIOps practices.
Inetum is a European leader in digital services, helping businesses and public sector organizations achieve digital transformation. With 26,000 consultants and specialists across 19 countries, they emphasize proximity, flexibility, and responsibility, generating €2.2 billion in revenue in 2025.