Architect and build scalable Generative AI and agentic AI applications from concept to production.
Design LLM-powered workflows, prompt strategies, and multi-agent solutions using LangChain and LangGraph.
Evaluate, fine-tune, and optimize LLMs, and own end-to-end ML and GenAI pipelines.
We are a partner company specializing in AI-powered recruitment, connecting top talent with innovative companies. We foster a collaborative, fast-paced environment with a focus on technical growth and professional development.
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.
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.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
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 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.
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.
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.
Architect and build scalable Generative AI and agentic AI applications from prototype to production.
Design LLM-powered workflows, prompt strategies, and multi-agent architectures using LangChain, LangGraph, or similar.
Collaborate directly with customers, product leaders, and engineering teams to translate business requirements into robust AI solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They are a fast-moving technology environment with a focus on AI-driven recruitment processes and a culture of innovation and objectivity.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
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.
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 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.
Deliver production-ready AI solutions in agile sprints, owning backend services, LLM pipelines, and front-end integrations.
Partner with strategic customers to design, implement, and deploy scalable AI-native solutions on the Now AI Platform.
Codify reusable patterns and influence platform strategy through field-tested insights and code.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. They are building an AI-native culture where technology and talent are unstoppable together.
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, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
Work as a Forward Deployment Engineer with customers, users, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
The company is a partner organization focused on AI and Generative AI solutions. Employee count and culture are not specified.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.