Prompt Engineering Jobs

Figma is seeking applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and enhance Figma products. The role involves driving fundamental and applied research, combining industry best practices with a first-principles approach to design and build AI/ML models and systems. This is a full-time position that can be based in one of our US hubs or remotely within the United States.

$153k - $376k

Figma is seeking founding Forward Deployed Engineers to join a new team focused on integrating Figma's products into large-scale enterprise environments. In this role, you will embed directly with strategic customers, working across their codebases, design systems, and workflows to ensure Figma's successful adoption within their unique technical constraints. You will tackle complex adoption challenges hands-on, from frontend stacks and legacy systems to security requirements, while building strong partnerships with customer engineering teams. This is a senior-level engineering position focused on customer success and product improvement, not sales or services. You will collaborate closely with Figma's Product, Engineering, Sales, and Customer Experience teams, influencing product development and the scaling of this new function. The role requires engineers who thrive in ambiguity, take end-to-end ownership, and are motivated by solving high-impact problems at the intersection of product, engineering, and customer needs. Periodic travel to customer sites is expected.

$153k - $376k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k

Stripe is seeking an AI Engineer to join the Solutions Architecture team. This role involves embedding directly with Solutions Architects to understand their workflows and build production-quality tools, agents, and automation that enhance their productivity. You will focus on high-leverage opportunities, transforming how the team operates by scaling individual solutions to organizational capabilities. The goal is to measurably improve SA productivity through accelerated engagements and transformed workflows, working at the intersection of engineering and business impact.

Salesforce is seeking a Forward Deployed Engineering (FDE) Intern to join a team focused on building and deploying AI agent solutions for government, nonprofit, and education organizations. This internship offers a unique opportunity to work alongside experienced engineers and strategists, gaining hands-on experience with cutting-edge AI tools and platforms. Interns will shadow customer engagements, contribute to the development of AI agents that perform real actions, and own a project that could be integrated into customer solutions. The program emphasizes learning, experimentation, and direct contribution to the evolution of Salesforce's AI capabilities.

This customer-facing role involves owning the end-to-end technical relationship with enterprise clients, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. You will serve as the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch, and will be comfortable collaborating with both customer IT teams and internal engineering and product teams. This is not a back-office role; you will be in front of customers regularly and are expected to travel up to 25% of the time.

$143k - $243k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k

Ultra is seeking a Product Engineer, AI Enablement to develop and deploy internal tools that enhance AI utilization across the company. This role involves collaborating with various teams to identify AI opportunities, build reliable internal tools and workflows, and ensure their adoption. You will be part of the Software team, focusing on both the software development lifecycle for AI tools (coding agents, reviews, testing) and empowering non-engineering colleagues with AI-driven automations. The position is production-oriented, requiring evaluation of commercial tools, development of custom solutions, and measurement of impact and adoption. This is an in-person role in NYC, offering direct visibility into Ultra's operations.

$150k - $225k

NVIDIA is seeking a Senior Staff AI Engineer to join its Finance AI team. In this role, you will be responsible for designing, building, evaluating, and operating AI-powered applications, agents, and automation critical to Finance operations. You will lead a team of coding agents, integrate new tools and technologies, and apply deep business knowledge to solve complex problems with AI. This is primarily an applied engineering position focused on leveraging foundation models, with opportunities to demonstrate the advantages of customized models over standard prompting and retrieval techniques.

$200k - $322k

Momentic is seeking a hands-on AI Engineer to join their engineering team and collaborate closely with the CTO. This role focuses on enhancing the AI models and agents that power Momentic's AI-native testing platform. You will be instrumental in fine-tuning models, developing robust evaluation strategies, and transforming production data into more reliable and efficient AI agents. Your work will have a direct and significant impact, as Momentic processes over a million tests daily and billions of tokens per hour.

$175k - $250k

Asana is seeking a Senior Software Engineer to join its AI organization in Vancouver, focusing on pioneering a new category of technology as a human-agent operating system. This role involves doubling down on Asana's AI Suite to provide customers with end-to-end intelligent orchestration. Depending on team placement, you might lead architecture for the core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build sophisticated customer-facing tools for coordinating humans and AI agents. The position offers a streamlined technical interview process with a focus on matching candidates to the ideal team.

$176k - $200k

Asana is seeking a Software Engineer to join its AI organization in Vancouver, focusing on building the human-agent operating system. This role involves contributing to core AI teams, from platform infrastructure for autonomous agents to trust and evaluation systems, and product surfaces for AI-orchestrated workflows. The position offers a hybrid work arrangement based in the Vancouver office, with specific in-office days and potential for remote work on other days, depending on the role's needs.

$146k - $162k

Accenture

This role focuses on developing and optimizing AI agents and LLM-powered applications to enhance cybersecurity operations within a Security Operations Centre (SOC). The AI/ML Engineer will collaborate with security experts to design, build, and deploy AI workflows that integrate with existing security tools, aiming to accelerate threat detection and response. The mission is to leverage AI to combat evolving cyber threats, requiring a strong engineering background and a security-first mindset. The position involves architecting modular and scalable AI solutions, implementing robust security measures against adversarial attacks, and adhering to AI governance frameworks for data handling, logging, and compliance. Cost management for LLM usage and infrastructure is also a key aspect, alongside clear technical documentation.

Glean is seeking an AI Engineer focused on Quality and Post-Training to enhance their Work AI platform. This role is crucial for improving the reliability and usefulness of AI agents by focusing on measurement and quality improvements. You will work at the intersection of applied research, quality assurance, and product engineering to refine Glean's AI assistants and autonomous agents, ensuring they can reason, plan, and act effectively across complex workflows. The position involves optimizing the entire AI stack, including agent harnesses, model routing, prompts, and retrieval, while balancing quality with performance and cost.

$200k - $280k

The bottleneck in building reliable, useful AI is no longer writing code, but defining and measuring what good looks like. This role focuses on data and evaluation science for Glean's AI products, building evalsets, agentic LLM-judges, and benchmarks that capture quality. You will develop the platform and infrastructure to run these evaluations reliably at scale, and create enterprise simulation environments to test assistant and agent performance. Starting from real production usage, you will translate learnings into evaluations that guide improvements across the entire stack, from agent harnesses to tool use, skill iteration, model routing, and post-training of task-specific models. You will also bring new research into production and collaborate with R&D, product, and GTM teams to translate evaluation findings into better products and customer outcomes.

$200k - $280k

Outset is building AI-powered user interviews, creating digital twins that represent specific real people and respond to research questions as those individuals would. The Digital Twins Team focuses on measuring and improving how faithfully these AI systems reproduce human responses and behavior. As a Research Engineer, you will report to the Head Scientist and be responsible for building and maintaining the systems that enable the team's scientists to conduct their studies correctly, reproducibly, and at scale. Your role involves ensuring experiments execute as designed, results are reproducible, and research code stays aligned with the shipped product, supporting scientists in a computational research setting with hands-on experience in LLM-based systems.

$200k - $240k

AiPrise is seeking an Engineering Manager to lead and grow the team responsible for building the company's AI agents. This is a player-coach role where you will manage, hire, and develop engineers, while also staying hands-on with agent architecture design, prompt reviews, tool definitions, and debugging evaluations. You will be responsible for the end-to-end process of building, measuring, and shipping AI agents, including the skills and tools they utilize, their memory capabilities, and the evaluation metrics that ensure quality and performance in a regulated domain like KYC and KYB. The role emphasizes the importance of quality and observability alongside speed, as inaccurate AI decisions can have significant financial and audit implications for customers.

$185k - $230k

Toast is seeking an AI/Agent Engineer to join the Care Automation team. This team builds the systems and automations that power how Toast supports its customers, connecting platforms, workflows, and integrations for Customer Care Agents. In this role, you will be instrumental in defining how intelligent automation transforms care operations at Toast. You will focus on building the AI layer across our care systems, integrating large language models, agentic frameworks, and workflow automation to reduce manual effort and enhance outcomes for both agents and customers. You will design and build AI-powered automations that work across our Care tool suite, partnering closely with software engineers, Salesforce developers, and operations stakeholders to deliver production-grade AI systems.

$151k - $309k

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join the General Agents team, focusing on building robust, production-ready AI agents for enterprise use cases. This role involves working across the entire agent lifecycle, from design and development to evaluation, deployment, and iteration. You will translate cutting-edge agentic techniques into reliable systems that solve high-impact business problems, emphasizing generalization, extensibility, and deployment across multiple customers. The team operates at the intersection of frontier agent development and real-world application, aiming to deliver significant economic value through scalable agent systems.

$290k - $363k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles fundamental challenges in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The role involves collaborating broadly across industry, the public sector, and academia, and regularly publishing findings to shape the future of AI safety and alignment.

$216k - $270k