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.
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.
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.
Design, build, and ship AI-powered features end-to-end, from prototype to production.
Work hands-on with LLMs, embeddings, RAG, and related tooling to solve real product problems.
Own architecture and technical decisions, balancing quality, cost, and latency across the stack.
Usersnap builds AI-driven capabilities into its product, from automated setup to intelligent surveys and self-generating reporting. It is part of saas.group, a fully remote portfolio of 25 B2B SaaS brands with nearly 380 colleagues in 50+ countries and a high-trust culture.
Build the internal AI stack hands-on: agents, MCP connectors, prompt libraries, and governed knowledge for engineering, product, and design.
Own experiments end-to-end in a dedicated AWS environment with Terraform, shipping what works and driving adoption.
Drive behavior change across the org through enablement, training, and an operating rhythm.
BetterHelp is on a mission to make mental health care more accessible, as the world's largest online therapy service with over 30,000 licensed therapists. Founded in 2013, we're a diverse, mission-driven team that deeply invests in employee well-being and professional development.
Owns the architecture and implementation of distributed, high-scale backend systems and APIs serving ML models in production.
Leads technical design for AI integration, driving fine-tuning and deployment of LLMs and transformers for business-critical use cases.
Mentors engineers across teams, sets platform-wide engineering standards, and collaborates with cross-functional leaders to align technical strategy with business goals.
Foodsmart is the leading Foodcare platform in the U.S., combining personalized clinical nutrition care, behavior change tools, and food benefits to improve health outcomes and lower costs. Serving over 3 million members and backed by a $200M investment from TPG's Rise Fund, the company fosters a culture of customer focus, urgency, and teamwork.
Design, build, and ship custom internal AI tooling, agents, and workflows for autonomy and research.
Integrate and extend third-party AI tools and evaluate new AI models with structured pilots.
Partner with cross-functional teams to prototype solutions and drive adoption of AI tools.
Waabi is a leader in Physical AI, founded by AI visionary Raquel Urtasun. The company is growing quickly with offices in Toronto, San Francisco, Dallas, and Pittsburgh, and seeks diverse, innovative candidates.
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.
Transform an existing AI agent product into scalable, reliable infrastructure.
Design and operate the core agent runtime, including orchestration, memory, and multi-agent workflows.
Work directly with the founder to set architecture, engineering standards, and development culture.
An early-stage AI infrastructure startup transforming a working AI agent product into scalable infrastructure. As the first engineering hire, you'll work directly with the founder to shape engineering culture and standards from the ground up.
Lead a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Lead architecture and development of scalable backend systems for guest and host experiences.
Apply advanced AI technologies to products and engineering workflows.
Mentor engineers and drive technical direction across major initiatives.
The company builds communication and connectivity platforms for millions of users globally. It is a high-growth technology environment that values inclusion, collaboration, and diverse perspectives.
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.
Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology solutions provider specializing in IT services for government agencies. They foster a collaborative culture focused on innovation and professional growth.
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.
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.
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, 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.
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.