APIs Jobs

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

OpenAI

We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

Cohere

Cohere is seeking a Forward Deployed Engineer to join their Agentic Platform team. This role focuses on bridging Cohere's North AI workspace platform with enterprise clients, solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by LLMs, transforming ambiguous business problems into production-grade AI agents that deliver concrete business value. The work involves close collaboration with customers to build first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability.

CA$175k - CA$385k

OpenAI

We are seeking a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, and threat hunting, ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products.

$211k - $302k

You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you will be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team and collaborating with internal engineering and product teams. This role requires regular customer interaction and up to 25% travel.

$191k - $334k

Decagon is seeking an AI Acceleration Engineer to build the core systems that power the company and integrate AI into every team's workflow. This hands-on technical role involves extending existing platforms, automating manual processes in areas like billing and collections, and replacing spreadsheet-based operations with robust systems. You will work directly with stakeholders across various departments to identify automation opportunities, design and implement solutions, and ensure their adoption and success. The role requires a strong generalist with a knack for engineering away manual processes and a deep understanding of when to apply AI versus deterministic pipelines.

$180k - $220k

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and deploying the services that power these agents, including orchestration, tool interfaces, evaluation, and data models for auditable and reversible decisions. This is a hands-on engineering position requiring coding, end-to-end system ownership, and collaboration with product, operations, and AI researchers to define agent functionalities and human involvement. The company is a profitable Series C organization valued at $10 billion, focused on organizing human intelligence to power the AI economy. They are a leading AI data company building the interface between human expertise and advanced AI models, with millions of domain experts earning significant daily income to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise extends this infrastructure to Fortune 500 companies.

$160k - $500k

Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.

$250k - $280k

Salesforce is seeking a Lead Member of Technical Staff to join the AI Solutions team. This role will focus on building internal products and platforms that enable Salesforce engineers to adopt AI-assisted development safely and effectively. You will be responsible for designing, building, and owning full-stack product and platform capabilities, including desktop applications, backend services, data pipelines, and dashboards. The goal is to translate fast-moving AI developer productivity ideas into reliable software used by thousands of engineers daily, driving innovation and efficiency at scale.

$149k - $260k

OpenAI

OpenAI is seeking an Applied AI Engineering Manager for its Startups team. This role will lead and scale efforts to help high-growth startups move from experimentation to production, unlock significant usage, and build strong technical partnerships. The manager will operate in a fast-paced environment, working closely with founders, CTOs, and technical teams, requiring speed, sound judgment, and hands-on problem-solving. The position involves balancing team leadership, technical expertise, customer prioritization, and cross-functional collaboration with Sales, Product, Engineering, and Research teams. The core responsibility is to define how OpenAI supports startup customers at scale, identifying opportunities for deep technical engagement, building repeatable deployment processes, and ensuring the team can serve a diverse customer base effectively.

$302k - $335k

NVIDIA is seeking a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. This role involves designing and optimizing high-performance algorithms and APIs for C++ developers, contributing to the foundational libraries, algorithms, and language/runtime infrastructure that power CUDA. You will be responsible for the full lifecycle of features, from design and implementation to testing, profiling, and maintenance, ensuring a speed-of-light experience for developers and AI coding agents.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to enhance the Python experience for its foundational CUDA Core Libraries. This role involves building Pythonic APIs, language bindings, algorithms, and runtime infrastructure that sit on top of native C/C++ foundations. You will contribute to the core libraries and infrastructure that make CUDA a high-performance platform for developers and AI coding agents. The position requires a strong focus on designing and implementing efficient, reliable, and scalable GPU-accelerated software, with an emphasis on improving the Python developer experience through robust tooling and clear documentation.

$184k - $357k