Senior AI Engineering Jobs

Assort Health

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

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

Parloa

Parloa is shaping the foundation of a new era in customer experience with agentic AI, where customer support becomes meaningful exchange rather than just transactions. We have powered over one billion interactions for global enterprise brands. As Manager, Agent Architecture, you will build and lead a team that transforms customer service with AI Agents, while also staying hands-on in the build yourself. You will hire, coach, and set goals for Agent Architects, owning the quality of every AI Agent they ship, with a significant portion of your capacity dedicated to live customer engagements. This is an opportunity to lead at the forefront of enterprise AI, where credibility is earned through direct contribution alongside your team.

$160k - $200k

Athelas

Commure is building the AI Operating System for healthcare, transforming the industry's administrative burden with an AI-native platform. Our products span ambient AI for documentation, intelligent agents for workflows, and autonomous revenue cycle management. We are seeking a Senior Engineering Manager to lead the team responsible for the financial core of our revenue cycle product, including the ledger, reporting, and analytics. This role involves managing a team of 6-8 engineers, owning the product roadmap with a product partner, and ensuring financial correctness across the platform. The team is currently undertaking a significant rebuild of its reporting logic and ledger system while maintaining service for existing customers.

$240k - $275k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

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. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI in responsible and scalable ways. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses, contributing to industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

$230k - $262k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

This role offers a unique opportunity to be at the forefront of artificial intelligence and Finance transformation, not just by supporting strategy but by actively building it. You will architect the next generation of AI-driven analytics and decision-support products for a leading asset and wealth management business. The position is ideal for someone who excels at shipping cutting-edge products and solving complex data challenges. You will join a team where your contributions directly influence how Finance leaders make critical decisions, with tangible and visible impact. As a Vice President — Applied Artificial Intelligence and Data Product Scientist, you will be an individual contributor focusing approximately 60% on hands-on building and 40% on strategy, roadmaps, and best practices. Your responsibilities will include researching, prototyping, and productionizing next-generation AI capabilities, as well as diagnosing and resolving structural data issues that affect both AI and traditional reporting products. You will collaborate with Finance stakeholders, data engineering, and platform teams, with your primary value derived from building code, training models, designing data architectures, and delivering functional products.

Lila Sciences is building Scientific Superintelligence™ to accelerate discovery across medicine, materials, and energy. We are seeking a talented individual contributor to join our AI safety team, focusing on identifying and mitigating risks from scientific superintelligence. This role involves developing and implementing a bespoke safety strategy tailored to Lila's specific goals and deployment strategies. You will work with domain scientists, risk researchers, evaluators, and engineering teams to translate risk findings and policy requirements into effective interventions, spanning research and implementation. The work includes developing approaches, testing their limits, and integrating reliable safeguards into our systems.

$224k - $336k

Capital One is seeking passionate Full-stack Software Engineers to join their Cloud Operations Resilience Engineering (CORE) division. This team is responsible for the foundational cloud infrastructure, focusing on observability, connectivity, resilience, and availability. You will be at the forefront of a major transformation, leveraging cutting-edge open-source frameworks and emerging AI-powered technologies to solve complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to drive technical leadership, design and implement large-scale distributed systems, and influence long-term technology strategy.

$230k - $262k

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

As a Lead Software Engineer within the Commercial & Investment Bank Digital Channel's team, you will be instrumental in building autonomous agent capabilities. These agents will be responsible for planning, executing, validating, and submitting code changes in bulk. The role emphasizes the development of evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness to safely scale machine-authored changes across various scenarios like runtime upgrades, framework migrations, security remediation, and standards adoption.

Capital One is seeking passionate Full-Stack Software Engineers to join their Cloud Operations Resilience Engineering (CORE) division. This team is responsible for evolving the company's foundational cloud infrastructure, focusing on observability, connectivity, resilience, and availability. You will be at the forefront of a major transformation, leveraging cutting-edge open-source frameworks and emerging AI-powered technologies to solve complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to drive solutions in distributed microservices and full-stack systems, contributing to powerful experiences that help millions of Americans achieve financial empowerment.

$197k - $225k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the ADAS engineering team, which focuses on the perception and intelligence powering driver assistance systems. The team works across the full ML lifecycle, from data creation to model development and evaluation, with a strong emphasis on measurable impact and shipping production-ready features. You will contribute to core ADAS perception capabilities and end-to-end approaches that allow models to act directly on the world, improving real-world driving performance.

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data training to production deployment. We are seeking a Senior Software Engineer to focus on the web access infrastructure for a novel search engine designed for agentic AI consumption. This role involves ensuring reliable and efficient access to public web content by investigating website and browser communication, diagnosing and fixing request failures, and building scalable systems. Your work will be crucial for providing high-quality content to downstream crawling, indexing, and retrieval systems, enabling AI agents to retrieve, filter, and reason over real-world information at scale.

We are seeking experienced software developers looking to transition into the field of Generative AI. This role is an opportunity to leverage your strong technical foundation and programming skills to build AI-powered solutions. You will join a dynamic consulting team focused on applying large language models and generative AI to enterprise processes, working on real business problems for both domestic and international clients. You will learn from experienced GenAI experts while independently deepening your knowledge in a rapidly evolving field.

Nebius is building an agent-native search platform designed specifically for AI systems, providing programmatic, low-latency, and observable search APIs for AI agents to retrieve, filter, and reason over real-world information at scale. We are seeking a Staff Software Engineer to focus on the runtime systems of this novel search engine, ensuring it can serve search queries in real time with high throughput and low latency. This role is critical for product quality, requiring optimization across all layers from request handling to data access and response assembly.

Nebius is building a novel search engine designed for AI systems, focusing on providing programmatic, low-latency, and observable search APIs. We are seeking a Staff Software Engineer to lead the development of content acquisition and crawling infrastructure. This role involves building scalable systems to discover, fetch, and refresh content from the web and other large data sources, managing billions of URLs and high-throughput data flows to ensure fresh, high-quality content for downstream AI systems.

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. We are seeking a Senior ML Engineer to join a fast-growing team focused on an agent-native search platform for AI systems. This role involves developing and deploying machine learning models for retrieval, ranking, and indexing at scale, enabling AI systems to access real-time information. It's a high-impact position on a production system operating at web search scale.

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company is 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 collaborates with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. AI models and platforms empower various teams to enhance products with AI in responsible and scalable ways.

$230k - $262k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The Driving Product team specifically focuses on developing the AI driver's core behaviors, taking models from data and training through evaluation and on-road validation, and shipping them into cars on aggressive timelines. This role involves owning key parts of the training model lifecycle, from data curation to iteration planning, and developing AI driver model architectures and training algorithms to enhance driving behaviors for various levels of autonomy.

$312k - $351k

Blee

Blee is seeking an Applied Scientist to specialize in agent system design, focusing on architecting and implementing the next generation of intelligent compliance systems. This role involves designing frameworks where multiple agents, powered by custom and foundational models, collaborate to identify, track, and explain compliance flags. You will also be responsible for building and optimizing applied AI/ML pipelines, including model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and training models based on user feedback to deliver more targeted compliance recommendations.

$150k - $275k

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 Chief Technology Office (CTO) - Identity & Access Management (IAM), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for building critical technology solutions across multiple technical areas working closely with various business functions and partners in support of the firm’s business objectives. You will be responsible for building, integrating, and operating enterprise-scale automation and an agentic, human-gated testing ecosystem that accelerates delivery while protecting quality, controls, and auditability. This role will align with user-journey-led quality, partner integration readiness, and an agentic test framework.