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 deploy AI agents that automate sales, operations, and support workflows.
Own technical delivery end-to-end, from architecture to production and post-launch improvements.
Work directly with clients to understand workflows and explain technical tradeoffs.
Stello is an AI transformation firm that partners with mid-market and enterprise companies to automate repetitive work with AI agents. They work across sales, operations, and customer support, deploying solutions inside existing client tools.
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.
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.
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 autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
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.
Design and implement RAG pipelines and tool-calling architectures for conversational AI agents in healthcare.
Build production Python code using LangChain and modern LLM frameworks to solve novel healthcare AI problems.
Own end-to-end deployments, monitoring, and customer partnerships in production healthcare environments.
Hippocratic AI is building the first healthcare-only, safety-focused large language model to transform patient outcomes. The company is backed by leading healthcare and AI investors, with a team of physicians, hospital leaders, and AI pioneers from top institutions.
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.
Own the hardest customer problems end-to-end, driving ambiguous challenges from prototype to production.
Design and deploy AI-powered workflows with appropriate controls for regulated environments.
Serve as a trusted technical advisor and contribute to a compounding knowledge base.
Workiva provides an AI-powered platform that unifies finance, risk, and sustainability on a single secure foundation. The company values meaningful challenges, collaborative teams, and helping organizations turn uncertainty into advantage.
Own AI workflows end to end, from problem definition to production and improvement, for finance processes like invoice-to-payment and reconciliation.
Design and build production-grade LLM-based systems with structured outputs, RAG, validation, and monitoring.
Collaborate with product, backend engineering, and customers while setting technical direction and using AI coding tools daily.
Jeeves is a stablecoin-native banking platform providing corporate cards, payments, treasury, and spend management for global enterprises. With over $5B in annualized volume and backing from top investors, the company is scaling rapidly and values relentlessness and tackling hard problems.
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.
Design, prototype, and build production-ready agentic workflows and LLM orchestration systems.
Move AI prototypes into scalable, low-latency microservices on Azure, ensuring production-grade integration.
Act as technical mentor for agent-focused engineering squads, driving AI quality and operational frameworks.
Shift Technology delivers AI agents that transform insurers' most critical work. With employees from over 50 countries, the company's culture is built on innovation, trust, and a drive to transform the insurance industry.
Design and deliver production-grade agentic AI systems using Glean, OpenAI/GPT Enterprise, and AWS/GCP.
Own AI agents end to end, from architecture through deployment, monitoring, and iteration.
Implement RAG, tool calling, permissions, and observability to ensure reliable, scalable enterprise AI.
This partner company builds production-grade agentic AI systems for enterprise environments, leveraging Glean, OpenAI/GPT Enterprise, and cloud infrastructure. They foster a collaborative, open-door culture with global projects and tailored learning opportunities.
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 AI solution architectures, ensuring performance, scalability, security, and cost-effectiveness.
Build and deploy production-ready AI solutions, including RAG, agents, and LLMOps.
Act as a technical reference, influencing standards and leading complex initiatives.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, we foster a collaborative and inclusive culture focused on innovation and well-being.
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.
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.