Senior AI Engineering Jobs

Distyl AI

Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.

$200k - $250k

We are seeking an AI Lead Software Engineer to join our Corporate Technology team at JPMorganChase. In this role, you will be a key technical leader responsible for designing and delivering secure, scalable, and high-performing technology solutions. You will collaborate with product, business, and engineering stakeholders to build strategic AI platforms that support the firm's objectives. This position offers an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

Manifold is seeking Forward Deployed Engineers (FDEs) to join our team at the intersection of AI, data infrastructure, and life sciences. In this high-impact role, you will collaborate directly with scientists and clinicians across biopharma, academic research, and health systems to implement Manifold's platform with their data, guiding projects from initial scoping through to production. As the primary technical and scientific contact for your accounts, you will operate autonomously, thrive under ambiguity, and represent Manifold at the highest level, earning customer trust and driving successful outcomes.

$165k - $190k

PermitFlow

PermitFlow is redefining the construction industry with applied AI, tackling complex challenges in permitting, licensing, inspections, and project closeouts. Our AI agent workforce accelerates development for the nation's builders, having already delivered significant improvements in speed, accuracy, and visibility for over $20 billion in development. As the U.S. enters a new capex supercycle, joining PermitFlow means building the core AI infrastructure that will drive future reindustrialization. We are seeking a Staff/Principal Engineer to develop our core AI Assistant, its supporting infrastructure, and workflow agents, requiring both UX and technical expertise in a complex domain.

$250k - $300k

Podium

Podium is seeking an SRE Manager to lead a team responsible for building and maintaining highly reliable infrastructure. This role involves a blend of technical leadership and people management, focusing on preventing incidents through automation, enhancing observability, and leveraging AI to optimize operations. The ideal candidate will be comfortable coaching engineers, managing projects, and driving incident resolution while fostering a culture of continuous improvement and blameless postmortems. This position offers the opportunity to significantly impact the reliability of Podium's AI-powered platform for local businesses.

LanceDB is seeking a Senior Documentation Engineer to enhance the understanding, adoption, and production use of their AI-native Multimodal Lakehouse. This role sits at the intersection of engineering, technical writing, and developer experience, focusing on translating complex data infrastructure concepts into clear explanations and practical examples. You will collaborate with engineering, product, and the open-source community to document new features, create runnable examples, and ensure guidance remains accurate as the product evolves. This position offers a unique opportunity to shape how documentation supports the growing ecosystem of AI-assisted development and significantly influence how developers and AI agents learn and build with LanceDB.

$180k - $250k

Datadog

Datadog AI Research (DAIR) is seeking a Research Manager to lead a team focused on fundamental research in post-training and autonomous agents. This role involves advancing reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating in complex real-world systems. The manager will provide technical leadership, mentor researchers and engineers, shape research direction, and collaborate with product and engineering teams to translate research into products. This position is ideal for an experienced researcher or technical leader who wants to maintain hands-on research involvement while leading a high-performing team.

$244k - $305k

OpenRouter is seeking its first AI Inference SRE to ensure the operational health of its provider supply. This role will focus on making sure every endpoint is fast, correct, and available, and that problems are detected and routed around before customers are impacted. The SRE will be responsible for building and owning monitoring systems, improving detection and failover mechanisms, and managing incident response for provider-related issues. This position involves holding providers accountable through telemetry and SLO reporting, detecting quality regressions, automating manual operational tasks, and building tooling for capacity planning and launch readiness.

$245k - $295k

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

Wayve is building the leading AI platform for autonomous driving, developing an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the Driving team, which owns the core end-to-end driving model that directly shapes how Wayve's vehicles behave on the road. The team iterates quickly, identifying and resolving issues through data, model, and evaluation changes, and is central to Wayve's Robotaxi launches. This position offers a unique opportunity to lead a small team while remaining deeply technical, contributing to the development of embodied intelligence for real vehicles.

$370k - $395k

Dodo

Dodo is seeking a Senior ML Engineer to enhance the intelligence, speed, and reliability of healthcare's front desk agents. This role involves owning the models, evaluation, and training loops that process millions of real conversations daily, continuously improving the system based on real-world interactions. You will be instrumental in making Dodo's agents smarter and more effective in handling patient communications.

Expedia Group is seeking a Senior Machine Learning Scientist to join the Unified Personalization Service team. This team is responsible for building Expedia Group's centralized, real-time personalization engine across all brands and channels, powering experiences like ranking, recommendations, and retrieval. This role involves shaping the next generation of deep learning systems for personalization, including recommendation, ranking, retrieval, traveler understanding, sequential modeling, and foundation-model-based personalization. It's a hands-on applied science and engineering position focused on translating research into production-quality systems, influencing technical direction, and mentoring others.

$187k - $262k

Join a team where your work directly shapes how machine learning is applied at scale across the firm. You’ll partner with product, engineering, and data teams to take ideas from experimentation through production, improving outcomes through thoughtful model development, evaluation, and operational excellence. As an Applied AI and Machine Learning Lead, you will drive the design and delivery of machine learning and deep learning solutions that solve meaningful business problems. You will take ownership from problem framing and experimentation through productionization, ensuring solutions are robust, scalable, and measurable. You will also help raise the technical bar through mentorship, strong engineering practices, and a culture of continuous learning.

Datadog

The Datadog Agent is our flagship open-source project and a critical part of how customers experience Datadog, with hundreds of engineers contributing annually across multiple languages and platforms. As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. You will guide the evolution of our software development lifecycle as AI coding tools reshape how software is developed, while strengthening our approach to software supply-chain security, build infrastructure, correctness, and performance. This is an opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog.

$244k - $305k

Build what's next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will translate complex business needs into clear problem statements, success metrics, and production-ready models and intelligent workflows. You will help establish semantic modeling standards and a unified semantic layer that improves trust and consistency across analytics and AI use cases.

As a Lead Software Engineer within JPMorganChase's Commercial & Investment Bank - Global Technology Banking team, you will be a core technical contributor responsible for enhancing, building, and delivering market-leading technology products. You will shape the platform's technical direction and lead the delivery of high-impact, production-grade capabilities, including building scalable services, engineering secure data flows, and integrating with existing systems. This role involves owning the full stack to create a unified, automated platform that accelerates deal velocity and strengthens execution quality for Global Banking teams, focusing on company screening and proprietary idea generation for M&A pipeline.

Cohere

Cohere is seeking a Senior Full-Stack Engineer to join the Cohere Dashboard team. This role is crucial for shaping the user experience of Cohere's platform, which serves as the central hub for users to access models, manage API keys, and explore documentation. You will collaborate with a talented team to build a delightful, intuitive, and unified experience across all dashboard features, contributing to both front-end and back-end development. This is an opportunity to work on mission-critical systems and contribute to the future of large language models.

CA$230k - CA$295k

PALO IT is seeking a Tech Lead/Cloud Architect to join their team in CDMX or Bogota. This role involves overseeing backend and cloud architecture, leading engineering teams, and ensuring platform robustness within a global technology consultancy. The company emphasizes an AI-first approach and operates as an agentic organization, fostering a collaborative and innovative environment. The position requires a minimum of 7 years of experience in key technical areas and offers opportunities for continuous growth and global collaboration.

Alpaca

We are seeking a Staff Full Stack Engineer to lead the technical direction of the team responsible for Alpaca's Trading API product. This product serves developers, traders, and institutions, and the team owns the entire customer experience, from platform access and account security to the applications used for trading. The role involves working across the full stack, including customer-facing trading applications, identity and permission systems, and integrations for partner apps and AI agents. This is a high-trust domain where system defects can have significant consequences, so we are looking for an engineer with proven experience in building and owning critical systems like identity, authorization, account models, and financial applications. While you won't manage people directly, you will lead through architecture, code, design reviews, and mentorship, acting as the senior technical anchor for the team.

Cloudflare

At Cloudflare, we are looking for builders who are passionate about improving the Internet and have a curiosity for creating solutions with the latest AI tools. Our culture emphasizes iteration, leveraging AI to ship faster, and sharing knowledge to elevate the entire team. This role is for a technologist who enjoys collaborating with innovative companies, from founding engineers to CTOs, to help them build the next generation of Internet products and AI initiatives. You will be comfortable discussing technical architectures and strategic roadmaps, acting as a technical evangelist for the Cloudflare Developer Platform.

$214k - $336k

Black Forest Labs is building the foundational layer for visual intelligence, developing multimodal models trained on images, video, audio, and action. Our team pioneered latent diffusion and Stable Diffusion, making generative AI accessible. We are pushing generative media at scale and developing machines that act in the physical world. This role focuses on the critical challenge of evaluating the performance and quality of frontier image and video models, as public benchmarks have fallen behind the capabilities of current models. You will be instrumental in building and refining the evaluation system that assesses every model checkpoint, finetuning run, and competitor release, providing essential insights for product research and development.

€150k - €220k

NVIDIA Israel is seeking innovative and driven Applied Researchers in deep learning to join a groundbreaking initiative at the intersection of AI and biology. This role offers the opportunity to develop foundational and generative AI models, as well as agentic AI systems, to redefine our understanding of complex biological systems and enable advanced diagnostics and novel scientific insights. The team focuses on applied research, with an emphasis on publishing work and sharing code as open source, contributing to NVIDIA's Health Platform ecosystem.

Join PwC's Advanced Technology Solutions team as an AI / Software Engineering Manager. In this role, you will lead the development and delivery of AI-powered software engineering solutions for global clients, combining deep technical expertise with strong leadership to build, mentor, and scale high-performing teams. PwC utilizes AI across software development, data engineering, cloud, automation, and analytics, collaborating with industry leaders like Microsoft and OpenAI. Candidates are expected to actively leverage AI tools to enhance productivity, improve problem-solving, and deliver scalable, high-impact solutions responsibly.

From €48k

This position is located in St. Valentin, Austria, and requires a minimum of 3 days per week in the office. You will be responsible for developing next-generation Machine Learning and AI applications to enhance, automate, and accelerate geometric engineering workflows. The primary focus involves researching and applying state-of-the-art AI techniques for geometry understanding to improve CAD-based engineering processes. This includes investigating LLM-assisted geometry reasoning, knowledge graphs, and multimodal approaches that integrate text, geometry, and simulation data, along with geometry embeddings and deep learning methods for meshes and graphs. These methods aim to transform CAD geometry into structured representations for tasks like automated design checks, manufacturability reasoning, variant comparison, tolerance analysis, intelligent parameter recommendations, and automated documentation. You will collaborate with internal customers, R&D teams, CAD experts, and external research partners to translate engineering needs into AI solution concepts, prototyping, validation, and refinement for integration into existing engineering workflows. Additionally, you will support R&D engineers and researchers by evaluating relevant technologies from various perspectives.