AI Engineer Jobs

Sierra

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do - Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. - Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. - Monitoring: Build systems for proactively monitoring agents for defects or new patterns. What you'll bring - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. Even better... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. Our values - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

$230k - $390k

Scale AI

Scale is seeking a New Grad Software Engineer for its Public Sector team. This role involves building core product systems to ingest and process federal datasets, supporting real-time decision-making in critical environments. You will own mission-facing work from day one, shipping features, interacting directly with government stakeholders, and iterating rapidly. The position offers the opportunity to work on impactful projects, from developing AI agent guardrails and RAG pipelines to creating data visualization tools and deploying applications in secure government environments.

$124k - $162k

Scale AI

Scale is seeking New Grad Software Engineers to join their mission of developing reliable AI systems. In this role, you will own meaningful, customer-facing work from day one, shipping products, interacting directly with customers, and iterating quickly. You will contribute to building and deploying AI applications that deliver real impact for enterprises and governments.

$124k - $162k

Scale AI

Scale's internship program offers a unique opportunity for students to contribute to real, impactful projects alongside full-time engineers. Interns will work on the same roadmaps as experienced professionals, receiving mentorship from world-class talent in a culture that emphasizes ownership, speed, and truth-seeking. Many interns find this experience so valuable that they return as full-time employees.

Salary not listed

Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms and healthcare copilots. If you enjoy experimenting with the latest models and shipping production systems that create measurable business impact, this role is for you.

$216k - $270k

Scale AI

Scale AI is seeking a Frontier Agents Engineer (Applied AI) to bridge the gap between cutting-edge AI research and production deployment. In this role, you will partner directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will work across a diverse portfolio of AI challenges spanning multiple industries and use cases, building systems that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in.

$180k - $225k

Scale AI

Scale is seeking an Engineering Manager for its Customer Platform team, focusing on GenAI. This role is pivotal in integrating our platform with external systems, ensuring seamless and reliable connectivity for both internal users and customers. You will drive the strategy, architecture, and development of our connectivity solutions, with a focus on API integration, distributed systems, and a robust data platform. Your leadership will be crucial in maintaining and enhancing our platform's ability to meet the diverse needs of our stakeholders.

$216k - $270k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

$252k - $315k

Scale AI

Scale Generative AI Platform (Scale GP) is an enterprise-grade platform providing APIs for knowledge retrieval, inference, and evaluation. We are seeking a skilled engineer to contribute to building and scaling our product in a dynamic environment. The role involves owning significant product areas, working across backend and frontend development, and integrating with LLMs and ML models. You will tackle complex engineering challenges related to scalability and reliability, ensuring high-quality delivery and customer engagement throughout the product lifecycle.

$179k - $224k

Redis

Redis is seeking a Senior Full-Stack Engineer to enhance how engineers and AI agents interact with Redis products. This role involves building and evolving key developer-facing surfaces like the Redis Cloud console, Redis Insight, and an agentic layer for MCP servers, CLIs, and agent skills. The team prioritizes usability, performance, and developer experience, leveraging AI agents for code generation and issue resolution. This is a high-ownership position for a product-minded engineer aiming to create impactful developer tools.

Salary not listed

Scale AI

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you will raise the bar for how AI is built, governed, and evaluated across the team. You will define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. You will be accountable for production AI behavior, its backend integration, and the evaluation required for a specific customer.

Salary not listed

We are seeking an Applied AI Scientist with substantial machine learning experience to join our AI Technologies team. In this role, you will be instrumental in developing practical machine learning and generative AI solutions, transitioning them from experimentation to production environments. You will collaborate closely with product owners, data engineers, software engineers, and fellow ML practitioners to design, test, refine, and deploy AI/ML capabilities at scale. This is a hands-on position for individuals who thrive on solving technical challenges, writing code, exploring innovative approaches, and building reliable systems from initial concepts.

Salary not listed

Isomorphic Labs is at the forefront of applying artificial intelligence to accelerate drug discovery and develop life-changing medicines. We are building a pioneering AI-first platform and autonomous agentic workflows to drive the next generation of drug discovery pipelines. As a Senior AI Security Engineer, you will operate at the intersection of AI and Cybersecurity, architecting and securing our platform. Your mission is to design custom risk management frameworks for the AI threat landscape in life sciences, establish governance over model artifacts, and embed security controls into our AI infrastructure. You will lead AI-specific incident response and pioneer model-driven defense mechanisms to safeguard intellectual property and accelerate innovation.

Salary not listed

OpenAI

OpenAI's Applied AI Engineering team partners directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. This role involves combining deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

Salary not listed

Accenture

We are building the next generation of AI-native engineering talent, where AI is a core part of how engineers work, not an add-on. As an AI Engineer, you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This role offers breadth across every industry and enterprise technology stack, combined with vendor fellowship access inside leading AI companies, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Salary not listed

As an AI and Data Technical Architect, you will serve as a senior, hands-on technical leader and trusted advisor to customers. Your primary responsibility will be designing, validating, and operationalizing enterprise-grade data and AI architectures, with a focus on Salesforce D360 and the Agentforce platform. This role bridges data engineering, platform architecture, and applied AI, requiring you to guide Chief Data Officers and Enterprise Architects through emerging AI solutions. You will collaborate closely with Account Executives and Product teams to ensure customers maximize the platform's value by architecting scalable, secure solutions that integrate D360 into complex enterprise ecosystems, including hyperscalers, data lakes, and governance frameworks.

Salary not listed

Scale AI

Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.

Salary not listed

Lila Sciences is building a talent-dense, high-agency AI safety team focused on identifying and mitigating risks from scientific superintelligence while preserving scientific discovery capabilities. The team will develop and implement a bespoke safety strategy, encompassing technical strategy, ecosystem engagement, safety evaluations, risk mitigation systems, and research into long-term oversight needs. You will build shared software to help the team understand and reduce societal risks from scientific AI, translating needs from threat modeling, evaluations, red teaming, and mitigation development into reliable tools and systems. This role involves owning engineering work from scoping and prototyping through deployment and improvement, supporting research across scientific models, agents, and automated experimentation.

$192k - $288k

Anthropic

Anthropic's Safeguards team is looking for a Red Team Engineer to ensure the safety of their AI systems and products. This role involves taking an adversarial approach to find vulnerabilities before malicious actors can exploit them. The work covers technical infrastructure weaknesses and emergent risks from advanced AI capabilities, focusing on broader safety implications and novel abuses unique to AI systems. You will simulate sophisticated threat actors, investigate potential abuse like account manipulation and payment fraud, and chain multiple attack vectors to achieve objectives.

$320k - $405k

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

Salary not listed

Imbue is an AI company building a suite of open-source tools to make technology serve humans. We are creating a future where individuals own personal teams of AI agents that can be modified to their specific needs. Our projects include Studio, a custom digital HQ for building personalized software; Bouncer, a social media feed filter; and Sculptor, an interface for programmers to run coding agents in parallel. We are seeking a Product Engineer to shape our product and build 0-1 features, contributing to the overall product direction. This role involves building across the entire stack, understanding customer needs, and contributing to the product roadmap, making it ideal for individuals with founder aspirations.

$170k - $350k

Nimble Gravity is seeking a hands-on engineering leader to build and coach a team across the Americas focused on turning ambiguous business problems into production-ready AI systems. This role requires a blend of technical expertise and client-facing skills, involving client workshops, code reviews, and strategic opportunity identification. The ideal candidate will be comfortable leading a distributed team, owning project delivery, and acting as the technical liaison with clients, demonstrating the capabilities of AI solutions like Claude Code and Claude Cowork.

Salary not listed

We are seeking an experienced Staff Forward Deployed Engineer to join our team and help build the future of AI-powered software creation. This is a hands-on software engineering role where you will design, write, and ship production code, working directly with customers to translate ambitious ideas into real products. You will be a founding member of our Forward Deployed Engineering (FDE) function, helping to define its engineering standards, ways of working, and collaboration with product teams. This is a unique opportunity to scale a new discipline from scratch, solve novel AI problems, and shape a product and team while remaining deeply hands-on.

$199k - $325k