APIs Jobs

Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work. Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.

Cloudflare is seeking an Engineering Manager to lead a team focused on AI and Internet Data Insights. This role is within the Emerging Technologies & Incubation (ETI) department, responsible for building and launching new products. The team operates at the intersection of AI, search, retrieval, data insights, and product engineering, addressing emerging challenges in how AI agents discover and interact with the internet. Cloudflare's unique network position allows for solving problems at massive scale, improving content discoverability, and transforming internet signals into valuable customer experiences. The ideal candidate will be deeply technically credible, capable of understanding complex systems, challenging architectural decisions, and stepping in to solve technical problems when necessary. Success will be measured by the team's output, engineer development, and the quality of delivered systems and products.

Cloudflare MCP Server Portals provide organizations with a secure, centralized method to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will be responsible for the design, delivery, and operation of distributed systems that handle user authentication, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. This role involves owning complex projects that span multiple service boundaries, making critical architectural trade-offs, and guiding other engineers in delivering reliable and secure changes. You will collaborate closely with engineers and product managers from Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are seeking a hands-on engineer capable of clarifying ambiguous system problems and taking ownership of production outcomes.

€66k - €91k

Accenture

This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.

Nango is a developer infrastructure company providing API access for agents and apps, enabling AI applications to connect to the real world. We are a YC-backed company with multi-million ARR and a growing team. We are seeking Senior+ Full-Stack Engineers to join our core engineering team. This product engineering role involves taking features from customer conversations to shipped products, encompassing the API, runtime, and dashboard. As we sell to developers, our engineers play a direct role in shaping the product roadmap, specifications, and execution, owning product surfaces end-to-end and influencing Nango's evolution as more customers build agents.

$140k - $220k

As a member of the AI Gateway Team, you will be responsible for developing and enhancing our AI Gateway platform, which provides a unified API for accessing hundreds of AI models from multiple providers. You will collaborate with a remote and distributed team of engineers to build reliable, low-latency systems that handle rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI-powered applications without managing provider-specific complexities. This role focuses on ensuring production-ready reliability for AI workloads, including automatic fallbacks during outages and consistent performance across providers like OpenAI, Anthropic, Google, and more.

$196k - $294k

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

Gong is seeking an engineer to build the foundational systems for its Talent Acquisition team. This role is a 0-to-1 build, focused on creating automations, integrations, and AI-powered workflows to connect disparate systems like HRIS, ATS, and interview intelligence tools. The goal is to provide recruiters and hiring managers with a unified view of candidate and employee data, enabling faster, data-driven decisions without manual intervention. You will be responsible for shipping functional systems that improve efficiency and provide actionable insights, rather than focusing on traditional recruiting tasks.

$111k - $175k

Glean is seeking a Tech Lead for its Admin Console team to engineer a critical product surface that enables customers to deploy, govern, and scale Glean across their organizations. This high-impact, full-stack role involves guiding architecture, collaborating with product and design, and growing a strategically important team. The Admin Console serves as the control plane for enterprise activation, admin confidence, and scalable rollout, allowing admins to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a central hub. As Glean transitions into an AI platform, this team's focus is expanding from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$200k - $300k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.

$200k - $300k

Glean is the Work AI platform that helps everyone work smarter with AI, evolving from enterprise search to a full-scale Work AI ecosystem. It powers intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform with over 100 enterprise SaaS connectors and flexible LLM choice. Glean redefines how enterprises find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, enabling deeply personalized, context-aware responses and agentic capabilities to automate real work across teams. As a founding member of Glean's forward deployed team, you will operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes, with the best of what you build shipping to every Glean customer.

$160k - $270k

Glean is seeking creative engineers to own and launch user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements, and overseeing greenfield features from inception to launch. You will work within a rapidly growing startup, contributing to systems used daily across major platforms like Microsoft Teams and Zoom. The focus is on shipping agentic capabilities on an open, extensible stack, ensuring enterprise-grade trust and making every employee AI-fluent.

$140k - $265k

Glean is seeking creative engineers to own and launch delightful user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements to deliver intuitive experiences for modern mobile and desktop browsers. You will oversee greenfield features from inception to launch, architecting robust REST APIs and writing efficient, maintainable code. This is an opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$140k - $265k

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context like code and memory, and the supporting infrastructure and documentation. As part of a rapidly growing startup, this role involves working across multiple layers of the stack, from backend services to developer tools and SDKs.

$210k - $300k

Glean is seeking driven engineers to tackle cutting-edge challenges in data and AI security and governance. In this fast-paced startup environment, you will empathize with customer needs, research the domain, and devise novel solutions to complex problems. You will collaborate with product managers and designers to balance engineering constraints with requirements, delivering intuitive and reliable experiences for enterprises to ensure user safety.

$140k - $265k

We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.

$215k - $250k

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

NVIDIA is seeking a Senior AI Security Engineer to join their Agentic & AI Cybersecurity Research team. This role focuses on building AI-powered cybersecurity tooling, seamlessly interfacing humans, models, and computing artifacts to create secure environments. The engineer will transform complex problems and prototypes into practical, production-ready solutions, collaborating with research, security, product, and partner teams to develop robust codebases and accelerate AI cybersecurity advancements.

$184k - $357k