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.
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, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team.
Spearhead strategic technological changes and champion code refactoring efforts to keep the core codebase cutting-edge and performant.
Lead technical story breakdowns, architectural design, and mentor engineers across the department.
Appian provides AI automation for mission-critical work, automating complex processes in large enterprises and governments. With over 25 years of experience, the company is known for its reliability and scale, and fosters an inclusive culture with employee-led affinity groups.
Collaborate with client teams to diagnose operational bottlenecks and develop testable hypotheses.
Build and test AI-powered prototypes using coding agents like Claude Code or Cursor.
Drive adoption by working directly with users and iterating on solutions until they are effective in live workflows.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The platform uses AI to review applications and provide a shortlist to employers, emphasizing efficiency and objectivity.
Own end-to-end quality of AI product experiences, improving response usefulness and reliability.
Build evaluation frameworks and run experiments to measure and improve AI performance.
Translate AI failure patterns into prioritized fixes for Product and Engineering.
Progress Partners is a fast-growing technology company building and scaling next-generation SaaS and mobile platforms. Our global team of experts collaborates across time zones to deliver category-defining innovations.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
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.
Bridge product management, strategy, design, and technology to lead multidisciplinary teams.
Architect AI agent workflows and own end-to-end product lifecycle.
Advise senior clients and translate AI capabilities into business outcomes.
Huge is an independent, human-first AI-native design and technology company. With more than 1,000 experts in hub cities worldwide, we partner with ambitious brands to create impactful experiences.
Design and deliver high-value AI Agent solutions for Vault Medical, automating content lifecycle and medical review processes.
Work hands-on with engineering and QA to prototype, define, and validate solutions rapidly.
Lead AI orchestration, prompt engineering, and product discovery for high-impact use cases in Medical Affairs.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year and are a public benefit corporation.
Design, build, and deploy LLM-powered product features, including lab summaries and conversational agents.
Build backend services integrating LLMs and ML models, primarily using Python with exposure to Elixir.
Implement evaluation, monitoring, and CI/CD workflows for AI features, ensuring reliability and clinical relevance.
Fullscript is a health technology platform that helps practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, the company emphasizes a people-first culture, teamwork, and continuous learning in a remote-first environment.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Own the design of AI features that enable trusted collaboration between users and AI within customer journey management.
Prototype constantly and talk to users to turn ambiguous problems into concrete, shippable experiences.
Establish design patterns that evolve the product's design language and raise the bar for AI experience design.
TheyDo provides an AI-powered journey management platform that helps large enterprises align around their customers. With a fully remote team of 100+ employees from 30+ nationalities across 27 countries, they foster a customer-led, people-first 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 and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.
Own implementation of Thunderbolt product features from concept through launch, adoption, and iteration.
Work across the stack to build AI-powered chat, search, workflow automation, and enterprise integrations.
Collaborate with product, design, engineering, and open-source contributors to deliver high-quality outcomes.
MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird, building privacy-respecting open-source communication tools. With a team of 60+ people across seven countries, they foster a collaborative, inclusive, and open-source culture.
Lead technical evaluations and proofs of concept for an enterprise AI coding platform in real customer environments.
Engage directly with CTOs, VPs of Engineering, and senior developers on AI agent architecture and integration.
Manage enterprise security and deployment reviews, troubleshoot integration issues, and feed customer insights into product.
The company is an enterprise AI coding platform provider helping engineering organizations accelerate development with AI agents and LLM infrastructure. It operates as a remote-first global team with a fast-paced, innovative culture focused on collaboration and rapid product iteration.
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.
Partner with product managers, engineers, and operations leads to build AI-powered tools.
Design and operate an evaluation framework to ensure AI tools meet quality standards.
Own the repository health, governance model, and responsible AI practices.
Maleda Tech is a technology staffing firm that connects professionals with contract opportunities. The company culture is not described in the posting.