Lead the design, development, and continuous improvement of foundational AI capabilities for agentic AI use cases.
Define engineering standards, operating models, and governance practices to ensure scalable, reliable, and secure AI platforms.
Oversee engineering teams while partnering with product, data, infrastructure, and business stakeholders to drive AI adoption.
This company builds foundational AI capabilities for enterprise-scale agentic AI products and intelligent workflows. It operates remotely across the US, fostering a culture of innovation, engineering excellence, and cross-functional collaboration.
Lead and scale engineering teams building agentic and AI-enabled product experiences.
Partner with Product, Design, and Data Science to define technical roadmap and translate AI capabilities into user-facing features.
Drive architectural standards, ensure reliability and performance, and champion engineering excellence across the organization.
Iterable is an AI-powered customer engagement platform that helps brands create personalized experiences at scale. With nearly 1,200 customers globally, the company fosters a culture of innovation, collaboration, and inclusion, earning recognition as one of Inc's Best Workplaces.
Design and ship AI agent systems end to end, owning data access, retrieval, and integration with existing infrastructure.
Build evaluation frameworks from scratch, including golden datasets and regression harnesses, and think adversarially about prompt injection and data boundary violations.
Set technical direction for AI at Kota and collaborate across teams to surface new AI opportunities.
Kota is reimagining insurance and retirement benefits for the modern workforce. We have raised over €20M, serve tens of thousands of employees, and operate with a remote-first culture.
Design, build, and deploy production-grade AI applications, agents, and enterprise workflows.
Establish AI Center of Excellence standards, reusable patterns, and governance practices.
Mentor engineers and influence architecture, engineering standards, and responsible AI across the organization.
They are a technology company focused on building enterprise AI capabilities and scaling AI solutions within a fast-growing environment. The culture is collaborative, fast-paced, and designed for experienced AI engineers who enjoy building and defining what comes next.
Design, build, harden, and deploy end-to-end agentic solutions from scoping to production code.
Own the AI automation roadmap, prioritizing high-leverage opportunities within operations.
Lead a pod of 2-4 engineers as a player-coach, staying hands-on while managing the team.
Parachute Health is the leading digital ordering platform for medical equipment and supplies, connecting clinicians, suppliers, and health plans to deliver home medical equipment to patients. With 300,000+ clinicians and 3,000+ supplier locations, the company is remote-first with a focus on patient care.
Own the architecture for AI-powered security automation across cyber defense, from threat intelligence to incident response.
Unify internal telemetry, asset data, and external intelligence into defender-ready systems that scale operations.
Build and grow a high-caliber engineering team, enabling security practitioners to extend automation themselves.
ServiceNow is an AI platform company that helps 85% of the Fortune 500 integrate AI, data, and workflows. Founded on the idea of freeing people from busywork, it fosters an AI-native culture where technology and talent are unstoppable together.
Lead the architecture and direction of a group of Forward Deployed Engineers building autonomous intelligence systems.
Translate customer use cases into precise specifications and direct AI agents to generate production code.
Engineer context for reliable agent output and verify code correctness, security, and maintainability.
ServiceNow provides an AI platform for business reinvention, automating workflows to free people from busywork. They serve 85% of the Fortune 500 and foster an AI-native culture where technology and talent are unstoppable together.
Design and build production-grade AI agents that answer complex analytics and marketing questions.
Rapidly prototype and develop proofs of concept for AI-powered data and marketing workflows.
Translate customer needs into intuitive AI-assisted product experiences while balancing experimentation with scalable engineering.
They build AI-powered data and marketing experiences for customers. The environment is highly autonomous, fast-moving, and intellectually curious, with a focus on meaningful impact.
Lead the engineering organization responsible for the AI platform foundation, including ServiceNow Platform AI, LLM strategy, and advanced AI infrastructure.
Drive enterprise LLM strategy, model orchestration, fine-tuning, and LLMOps/MLOps pipelines for production deployment.
Architect advanced AI infrastructure with GPU/TPU-accelerated and confidential computing, ensuring data residency and compliance across regulated environments.
ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow. Serving 85% of the Fortune 500, it fosters an AI-native culture where technology and talent are unstoppable together.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.
Own the vision, roadmap, and evolution of AI product and agentic platform capabilities used by sophisticated global clients.
Lead cross-functional teams to turn complex business challenges into scalable AI products and repeatable solutions.
Establish standards for AI governance, security, quality assurance, and lifecycle management.
This partner company is developing next-generation AI-powered enterprise marketing technology for sophisticated global clients. It is a smaller, rapidly growing organization with a collaborative, supportive, and people-focused environment.
Lead engineering execution for a growing AI product, establishing priorities, ownership, and quality expectations.
Manage and develop a team of senior engineers through coaching, feedback, and career development.
Partner with product and technical leadership to translate strategy into coordinated engineering roadmaps.
They develop an open-source AI product for enterprise use, focusing on privacy, security, and flexible deployment. The company is fully remote with a small but experienced team, fostering a culture of experimentation and technical excellence.
Own the agent systems that source cases and match people to claims they are owed.
Build evaluation and quality infrastructure to keep agent behavior measurable and reliable.
Recruit, vet, and grow the engineering team around the AI core.
Chariot Claims is an AI claims agent that helps consumers get paid for corporate violations like data breaches and antitrust. We are a small, fast-growing startup with a mission-driven, collaborative, and ethical team.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Lead the engineering strategy and execution for enabling customer AI agents to securely and reliably consume Twilio platform capabilities.
Build and scale systems that power AI agents for Twilio’s internal business operations, improving efficiency and automation.
Collaborate across product, platform, security, and go-to-market teams to identify high-impact AI agent use cases and deliver production-ready solutions.
Twilio is a communications platform that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide. They are a remote-first company with a strong culture of connection and global inclusion.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Lead, mentor, and grow a team of engineers building AI solutions.
Drive planning, execution, and delivery of production-ready agentic AI applications.
Partner with Product and Platform Engineering to prioritize work that delivers measurable customer value.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. They are backed by partners like Palantir, Nvidia, HPE, and Oracle, and foster a culture of bold thinking and collaboration.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.