AI Engineer Jobs

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, mentoring a team of engineers, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will foster a culture of collaboration, ownership, and technical excellence, ensuring the scalability and reliability of our platform. The position requires a strong technical background and a bias towards shipping quickly while learning from customers.

$220k - $270k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

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 building a world-class Data Organization composed of product data science, applied science, data engineering, and business intelligence groups. This is an applied science role based in our San Francisco office. You will collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to assist rigorous decision-making across all relevant product domains. You will develop and maintain our A/B experimentation platform based on stakeholder feedback, and write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management, and design teams. You will also conduct end-to-end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. You will break down end-to-end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. You will design, develop, and own best practices, tools, and processes across various evaluation problems, e.g., query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, and industry benchmarking.

$180k - $330k

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

Abnormal Security

Abnormal AI is seeking a Software Engineer II to join the AI Transformation Engineering team. This role focuses on building and extending Nora, the company's internal AI platform, which powers AI-driven workflows across all business functions. You will be responsible for developing services, factories, and sandboxes that enable internal teams to deploy AI workflows, and for integrating AI capabilities into existing internal systems like Salesforce and Jira. The position involves standing up new infrastructure when required and designing for seamless handoff to permanent ownership teams, ensuring a measurable contribution to business outcomes.

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As a Software Development Engineer in Test II (SDET-II), you will be instrumental in defining and implementing our automation-first quality strategy across web, API, and AI-driven systems. You will collaborate closely with Engineering and Product teams to embed quality into every feature, ensure it's upheld by robust automation, and protected by stringent release criteria. This is a hands-on, technically demanding position offering significant ownership and impact.

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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

Parloa

Parloa is at the forefront of a new era in customer experience, powered by agentic AI. We aim to make every customer conversation effortless, transforming support into meaningful exchanges. Our platform has already powered over a billion interactions for global enterprise brands. As a Senior Software Engineer, you will work on a marketplace of tools and integrations that enhance Parloa's AI agents, ensuring secure and scalable access to business systems. While experience with our specific stack is not required, a willingness to learn and code in Typescript is essential.

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Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and impact millions of customers. The team's AI models and platforms empower other departments to enhance their products with AI responsibly and at scale. You will help reimagine how Capital One serves its customers and businesses by leveraging emerging AI capabilities.

$197k - $225k

WorkOS is seeking a frontend-leaning Product Engineer to help shape and build Passport, a product that simplifies accessing work applications. You will be responsible for building seamless user experiences for both employees and administrators, managing access control and identity workflows. This role involves hands-on engineering across the stack, working directly with customers to understand their needs and translate complex requirements into intuitive interfaces. You will also contribute to defining product strategy and carrying features through to production, operating in an AI-native engineering environment and leveraging AI tools for development.

$175k - $275k

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

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As a Lead Software Engineer at JPMorgan Chase, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and scalably. You will act as a core technical contributor, responsible for critical technology solutions across various business functions to support firm objectives. This role involves executing creative software solutions, design, development, and technical troubleshooting, with a focus on thinking beyond conventional approaches. You will also drive the team's adoption of AI-assisted engineering practices to improve code quality and delivery speed, while establishing validation standards and promoting the reuse of effective patterns.

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Anthropic

Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions.

$240k - $315k

Amplitude

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

Prime Intellect

Prime Intellect is developing an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, and high-performance training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are building open-source frontier AI models for long-horizon tasks and the platform their research team uses. The role focuses on building post-training and agent systems for national institutions, public-sector organizations, and regulated industries, addressing needs for models and agents that operate within strict boundaries for data, deployment, access, auditability, and human authority, while enabling self-improvement without external model dependency.

$150k - $300k

Alpaca

Alpaca is seeking a Senior Data Scientist, AI Evaluation to lead the measurement of our AI models and agents. In this senior individual contributor role, you will transform ambiguous quality questions into reliable ground truth, scoring methods, and evaluation loops that drive company-wide improvements. You will leverage an existing data foundation to enhance quality and accelerate the safe rollout of AI systems, owning the quality bar independently. This role is ideal for someone passionate about the correctness of AI outputs as much as their generation, who can partner with Product, Engineering, Analytics Engineering, and business stakeholders to define success, build robust evaluations, and ensure feedback loops drive iteration. If you have a strong quantitative background, a proven track record of rigorous, measurable work in evaluation, experimentation, or model validation, and desire ownership of a new evaluation practice at a rapidly growing financial services infrastructure company, we encourage you to apply.

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As a Staff Forward Deployed Engineer (FDE) at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This hybrid role combines AI engineering, software building, and technical consulting, making it ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production.

$210k - $300k

Typeface

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Software Engineer, Platform, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for software engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$210k - $240k

Domino ai

Domino builds AI solutions for large, highly regulated organizations to accelerate mission-critical use cases. Our platform offers streamlined model and app development, advanced hosting capabilities, and novel governance for regulator-ready AI at scale. Customers use our software to solve significant global challenges, from developing new medicines to securing financial markets and protecting countries. We are a well-backed company with the spirit of a startup, focused on inventing the future of AI. As an AI Solutions Engineer, you will work directly with customers to understand their problems and design solutions on our platform. You will collaborate with data science and ML teams to shape ideas into technical approaches and build prototypes, demos, and proof-of-concepts. Your focus will be on the technical solution, while account executives manage the commercial relationship. You will also provide customer insights to Product, Engineering, and Marketing teams to help shape the platform's future.

$200k - $250k

Capital One is seeking passionate Full-stack Software Engineers to join the Global Workforce Services team, driving a major transformation by leveraging cutting-edge open-source frameworks and emerging technologies. This role focuses on powering enterprise facilities and physical security through a hybrid landscape of applications, managing a large IoT footprint, and transforming operations using state-of-the-art AI, autonomous agents, and RAG pipelines. You will be at the forefront of innovation, solving complex business problems in a fast-paced, collaborative environment.

$230k - $262k

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k