AI Engineer Jobs

Capital One is building responsible and reliable AI systems to transform banking. Leveraging deep experience in machine learning and investments in technology, the company aims to be at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing Capital One's AI vision. The team builds and deploys proprietary AI solutions that deliver value to millions of customers and empower other teams across the company to enhance their products with AI in responsible and scalable ways.

$197k - $225k

Lila is developing AI systems for scientific discovery, connecting advanced models with scientific tools and automated laboratories. As these systems become more capable, we need to understand how they could be misused or compromised, which protections matter most, and how to establish that those protections work together. We're hiring an experienced security practitioner to lead this work at the boundary between AI safety and security. You will investigate real systems, develop threat models, test important assumptions, and recommend the protections needed for particular capabilities and deployments. Your work will address both dangerous misuse and the protection of sensitive models, data, and research. This is an opportunity to help shape a developing area of AI safety through security practice, combining technical investigation with careful analysis and clear writing, working closely with our established Security team, researchers, and engineers to turn findings into implemented improvements. You will bring security depth and develop your understanding of model capabilities, evaluations, and safeguards through that work.

$192k - $306k

Anthropic

Anthropic is seeking talented individuals for its Fellows Program, focusing on AI Safety. This program aims to foster AI research and engineering talent by providing funding and mentorship to promising individuals, regardless of prior experience. Fellows will engage in empirical projects using external infrastructure and open-source models, with the goal of producing public outputs like research papers. The program offers a structured 4-month full-time research period, direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and connections to the AI safety community. The program is designed to encourage diverse perspectives and applications, even from those who may not meet every single qualification.

$25k - $50k

Lila Sciences is developing autonomous systems for scientific discovery, and this role focuses on building security into the AI infrastructure from the ground up. As a senior individual contributor on the IT & Security team, you will be responsible for security engineering across Lila's AI and ML systems, encompassing training and inference pipelines, model registries, MCP servers, and agent runtimes. Your work will involve translating the AI security roadmap into actionable controls, driving vulnerability remediation, and mitigating risks throughout the AI lifecycle, including data, models, pipelines, and agentic systems. This is a hands-on role requiring technical expertise in cloud security, supply chain security, and AI-specific threat modeling, with a strong emphasis on cross-functional collaboration with AI Platform, AI Research, ML Operations, Science, and AI Safety teams to ensure security is integrated from the design phase.

$252k - $374k

LILA is seeking a Senior Human Factors Engineer to be the human-factors voice for Robotics, focusing on the software that powers Lila's autonomous labs. You will collaborate with software engineers and researchers to make complex interfaces for simulation, research operations, orchestration, and SCADA-style monitoring clear, safe, and trustworthy. Your work will directly influence the speed and accuracy of the factory's operations. This role involves leading usability research, designing high-stakes displays, prototyping and validating interfaces, defining human-in-the-loop workflows for AI-driven processes, and championing accessibility standards.

$144k - $240k

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges by leveraging AI to accelerate scientific discovery. This role focuses on applying computational condensed matter physics and electronic structure expertise to materials discovery, optimization, and understanding. You will utilize first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials relevant to superconductors, quantum materials, or electronic devices. The work involves a blend of physics-based simulation, AI/ML, and autonomous scientific workflows, aiming to generate actionable hypotheses and discovery workflows by reasoning over simulation and experimental data.

$176k - $304k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.

$204k - $310k

LILA Sciences is seeking a Principal Software Engineer to join their Applied AI group. This role focuses on building the next generation of AI-driven scientific platforms by designing and optimizing backend systems, data pipelines, and AI integrations. You will work at the intersection of backend engineering and machine learning, ensuring the platform scales and supports advanced applied AI techniques like Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. The ideal candidate bridges software engineering and applied AI, transforming research into production-grade systems for scientific discovery.

$204k - $310k

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale.

Salary not listed

ClickHouse

The Learning Team at ClickHouse is expanding rapidly, and we're seeking a Technical Curriculum Developer to enhance our hands-on training experience. This role involves accelerating technical content creation by integrating AI-powered tools and agents directly into the learning process. You will be responsible for the infrastructure that supports content releases, certification exams, courses, and learning environments. Additionally, you will spearhead GenAI initiatives to improve content development efficiency and build an AI-powered user experience for our students.

Salary not listed

ElevenLabs

ElevenLabs is seeking an Applied AI Engineer to join their Marketing Engineering team, focusing on building and deploying AI agents that handle real business tasks and improve over time. This role involves leveraging advanced tools like their own agent platform, orchestration tools, and frontier models to create reliable, measurable, and safe solutions. The engineer will be embedded within growth pods, identifying problems and owning solutions from conception to completion, working with a focus on impact and rapid iteration in a high-velocity environment.

Salary not listed

Handshake AI is seeking a Senior Software Engineer to build the systems that power high-quality coding data and evaluations for next-generation AI models. This role involves working on technically complex projects related to software engineering benchmarks, code review evaluation, agentic coding workflows, and developer-facing tools. You will combine strong engineering judgment with hands-on execution, designing reliable systems that enable teams to create, validate, and improve sophisticated coding datasets. This is an opportunity to shape foundational infrastructure at the intersection of software development and AI, operating with significant ownership and collaborating closely with engineers and technical program leaders.

Salary not listed

Indicium AI is seeking a Forward Deployed Software Engineer to embed directly with client engineering teams and transform how they build software using AI. You will identify unarticulated problems and ship changes that make AI-native engineering a reality in their daily workflows and production pipelines. This role is for an experienced software engineer passionate about AI's impact on software engineering, helping organizations redesign their capabilities from tooling to team structure. You will lead engagements at complex organizations, co-engineer with client teams to integrate new ways of working, and own the senior technical relationship with engineering leaders.

Salary not listed

NVIDIA is seeking a Senior Software System Architect to join a team focused on networking management systems, AIOps platforms, and applied AI solutions for AI cluster operations. In this role, you will collaborate with customers, internal operational teams, architects, and Product and Engineering teams to translate complex operational challenges into clear requirements and scalable architectures. You will then guide these capabilities through implementation and delivery, creating products that provide significant value to customers. The ideal candidate possesses deep technical judgment, a broad system perspective, and the drive to bring ideas to production, demonstrating an ability to ask insightful questions, identify critical details, and foster alignment across teams.

Salary not listed

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.

Salary not listed

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

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k

Toast

Toast is seeking a Staff Software Engineer to join the Developer Experience team. This role will focus on setting the technical direction for how Toast engineers build software, identifying and solving high-leverage problems within the developer workflow. You will design and build solutions that impact hundreds of services and teams, with a particular focus on defining the future of AI-native developer experiences. The Developer Experience team builds the tools and platforms that Toast engineers use daily, including local development environments, build tooling, shared libraries, internal developer portals, and testing frameworks. Our goal is to empower every engineer at Toast to be faster, more independent, and more confident in their work.

$151k - $309k

Anthropic

As a member of the Applied AI team, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude, advising on architecture design decisions, developing evaluation frameworks, and guiding customers through cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment, combining deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API.

$200k - $320k

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

Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond, and you'll work closely with AI and Software Engineers to turn validated approaches into production-ready systems. Drata's compliance platform is document-heavy, with various agents and mappers depending on high-quality information retrieval and reasoning.

$157k - $252k

Rula is seeking a Staff Forward Deployed Engineer to join their remote-first team. This role focuses on leveraging AI to automate manual tasks for business and clinical teams, aiming to significantly reduce time spent on operational work. You will embed within teams to understand their workflows, build and deploy AI-powered tools, and ensure their successful adoption. A key aspect of this role is privacy-by-design, especially given the sensitive nature of mental healthcare data. The goal is to create reusable AI building blocks that accelerate efficiency across the organization.

$192k - $240k

This role focuses on enhancing multiple products by identifying, prioritizing, and delivering AI-driven features to improve user experience, efficiency, and operational resilience. You will design, build, and deploy production-grade AI applications, including LLM-powered workflows, Retrieval-Augmented Generation (RAG) solutions, and agentic systems. The position involves developing automation solutions to reduce manual effort and architecting AI systems with production concerns like latency, scalability, cost management, and observability in mind. You will also establish AI engineering standards, drive architecture reviews, and identify/mitigate risks across the AI lifecycle, including data privacy, security, and bias.

Salary not listed

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