Senior AI Engineering Jobs

Cloudflare

At Cloudflare, we are building industrial-scale AI agents to directly support customers, moving beyond research to deliver real-world impact from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents that customers will use daily. The primary goal is to ship production agents on the Cloudflare stack, iterating rapidly through building, deploying, and learning. Your code will serve as the primary interface for Cloudflare customers interacting with these AI capabilities.

Capital One Canada is seeking a Principal Associate, AI Engineer to join their Intelligent Foundations and Experiences (IFX) team. This role involves partnering with cross-functional teams to deliver AI-powered products that enhance associate workflows and customer interactions. You will be responsible for designing, developing, testing, deploying, and supporting AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, and governance. The position leverages a variety of Open Source and SaaS AI technologies and focuses on inventing and implementing state-of-the-art LLM optimization techniques to improve the performance of large-scale production AI systems. You will also contribute to the technical vision and long-term roadmap for foundational AI systems within the company.

$148k - $169k

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 within the Commercial & Investment Bank, Post-Trade Technology team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Databricks

The Agentic Security Engineering team is building an AI-native shared services platform to empower all Databricks security functions. This role will serve as a senior technical authority and architect for this platform, defining its architecture, technical standards, and multi-year engineering direction. You will ensure security teams can safely build, deploy, and operate governed AI personas at scale, focusing on areas like secure agent identity, isolation, policy enforcement, auditability, and observability. Your work will involve cross-organizational alignment, driving adoption of common patterns, and resolving complex technical challenges to improve the quality, safety, reliability, and velocity of the Security AI ecosystem.

$183k - $314k

Glean is seeking a Tech Lead Manager of AI Evaluations to lead a team of applied AI scientists and engineers. This role is crucial for developing the evaluation strategy and platform that ensures Glean ships reliable and delightful AI experiences. You will integrate evaluation into the development and operation of models, harnesses, assistants, and agents. The position involves translating AI/ML research into robust evaluation systems, building scalable infrastructure for evaluations, and collaborating with R&D, product, and marketing teams to improve products based on evaluation outcomes.

$250k - $350k

Expedia Group is seeking a Senior Software Development Engineer to join the GenAI Platform team. This team builds and operates Expedia Group’s shared generative AI platform, including tooling, services, and guardrails, to enable product and ML teams to safely experiment with, deploy, and scale GenAI-powered experiences. You will lead the design, delivery, and evolution of scalable GenAI services and multi-agent infrastructure, shaping platform architecture, codifying best practices, and partnering with product and domain engineering teams to accelerate the development and safe operation of AI-enabled experiences for travelers and partners globally.

$172k - $240k

PwC's data and analytics engineering team leverages advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights. Those in artificial intelligence and machine learning focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes through designing and optimizing algorithms, models, and systems. As a Senior Manager, you will lead the development of AI, GenAI, and ML solutions tailored to the complex needs of health systems and health plans, driving use case development across various healthcare domains and translating challenges into production-grade AI solutions. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing global delivery teams and engaging health system leaders to ensure measurable clinical and operational impact.

$124k - $280k

As an engineer on the Data Team, you will operate as a technical leader on the foundational layer of the platform. This team owns Qualified's data end-to-end, including leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and AI agent depends on this layer being correct, fresh, and fast. This is a newer team with significant greenfield opportunities, where you will shape the architecture of core pipelines and data models, set patterns for other teams, and transform inherited systems into a coherent platform. You will also directly contribute to the intelligence of AI agents by ensuring the data they rely on is accurate and flows seamlessly between systems.

$173k - $260k

We are seeking a Director of Software Engineering and ML to lead a London-based team of software, data, and ML engineers. This role involves building B2B agentic commerce agents and productionizing the ML models they utilize as tools. You will be responsible for delivery, people management, and technical direction, ensuring the safe deployment of AI agents for corporate clients on the firm's governed agent platform. This is an opportunity to push the boundaries of what's possible in AI-driven commerce and make a significant impact on client solutions.

Encord is seeking a Research Engineer to join its ML team, focusing on robotics, computer vision, and multimodal research. This role involves working on data curation, annotation, evaluation, and quality control, with successful projects integrated into the core product. You will tackle evolving research problems across the entire data lifecycle, contributing to a market-leading platform. The position offers the opportunity to develop generalized solutions for diverse multi-modal tasks using a massive flow of proprietary data, working alongside leading robotics and physical AI teams.

We are seeking experienced backend engineers to join our team and build robust, scalable backend systems. This role focuses on server-side development, requiring a strong understanding of software design principles, system design, and scalable architecture. You will be responsible for performance tuning and scaling at both the API and storage layers, ensuring the efficiency and reliability of our systems.

Tenstorrent is a leader in AI technology, focusing on performance, ease of use, and cost efficiency. We are building a high-performance RISC-V CPU and a comprehensive AI platform. Join our AI IP software team to help customers integrate AI workloads into products built on Tenstorrent technology. This role involves working directly with customers to integrate models, answer technical questions, and solve integration challenges across models, compilers, and runtime workflows. It's a hands-on software role with opportunities to learn and contribute to cutting-edge AI technology.

Overview.ai is seeking a Senior Full-Stack Engineer to develop web tools and GenAI applications that enhance their edge-AI vision platform for manufacturing quality control. This role involves owning tools end-to-end, from React/TypeScript interfaces to Python backend services. You will work on the cutting edge of AI, building LLM-powered assistants, synthetic data generation tools, and agent-style workflow builders. The position offers high autonomy within a small, fast-paced team, allowing you to define approaches, ship quickly, and iterate with users.

PwC Ireland is seeking a Senior Microsoft Fabric Data Engineer to join their Advisory team. This role involves designing, developing, and delivering enterprise-grade data platforms using Microsoft Fabric. You will be responsible for the full lifecycle of data engineering solutions, from ingestion and transformation to analytics enablement and governance. The position requires deep expertise in the Microsoft Fabric ecosystem and collaboration with various stakeholders to translate business needs into scalable, secure, and high-performing data solutions that support reporting, advanced analytics, and AI use cases.

NVIDIA is seeking software engineers to work on the CUDA driver for Tegra. CUDA is NVIDIA's platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to realize the potential of NVIDIA hardware for a range of computational workloads, from deep learning and scientific computation to video games and virtual reality. CUDA defines a unified programming model across various system configurations and hardware capabilities. The CUDA driver interacts with GPU hardware, kernel mode drivers, user mode drivers, and the operating system. As a member of this team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world, crafting elegant solutions and shaping the future direction of CUDA.

Salesforce is seeking experienced Forward Deployed Engineers to design, build, and deploy complex agentic AI solutions within enterprise customer environments. In this role, you will lead technical delivery, mentor other engineers, and establish engineering standards for deploying agentic AI at scale. You will collaborate closely with a Deployment Strategist to manage projects from architectural decisions to production, ensuring high-quality software that addresses real-world problems using best-in-class AI tools.

This role involves leading hands-on engineering efforts to build and enhance agentic and GenAI capabilities for the LLM Suite platform. You will be responsible for deep technical problem-solving, architecture ownership, and collaborating with other engineers. The position focuses on transforming ambiguity into reliable production systems within a team that values craft, security, and learning. You will design and deliver production-grade AI/ML and agentic solutions, owning technical direction across architecture, implementation, and operational stability with a strong emphasis on secure, high-quality software. This includes evolving the platform using modern public cloud services and agentic frameworks, and exploring emerging patterns like agent-to-agent communication and agentic orchestration.

NVIDIA is seeking a Developer Relations Manager to collaborate with developers across various sectors, focusing on integrating GPU Accelerated Computing solutions, particularly in Agentic AI. This role requires a passionate, self-driven technologist with strong communication and collaboration skills to thrive in a fast-evolving AI and High-Performance Computing environment. The ideal candidate will be motivated, organized, and focused on achieving goals.

The Local AI Automation team is seeking a Senior System Software Engineer passionate about building and maintaining robust system-level software and infrastructure for deploying, benchmarking, and qualifying high-quality AI applications and models. You will collaborate with a team of highly qualified engineers dedicated to creating top-tier infrastructure for Local AI automation. If you have a real passion for building reliable, scalable automation systems in the AI ecosystem, this could be an excellent opportunity.

Simple AI

Simple AI is seeking founding software engineers to build the core systems behind their state-of-the-art voice AI agents for enterprise clients. This high-ownership role involves working across product to enhance agent speed, reliability, and capabilities in production environments. You will ship customer-facing features, optimize latency and reliability, develop internal tools, troubleshoot complex issues, and scale the platform to meet growing customer demand. Engineers collaborate closely with product and customers, requiring a fast-paced approach, ownership of system components, and a drive to build technology that directly impacts business revenue.

$130k - $280k

Mem0 is building the memory layer for AI agents, enabling them to remember conversations, learn from interactions, and build context over time. We are a Y Combinator-backed company with significant funding, powering millions of AI interactions for enterprise customers and an open-source community. This full-time, onsite role in San Francisco, CA, offers a unique opportunity to own the AI product surface of the Mem0 Platform. You will be responsible for the end-to-end frontend development, setting the visual and interaction standards for our dashboard, playground, and documentation. Working directly with the CTO, research, and customers, you will translate complex memory problems into intuitive user interfaces, shipping AI products to real users.

$150k - $250k

We are seeking an experienced AI Tech Lead to spearhead the design and development of scalable backend systems and production-grade AI applications. This is a hands-on technical leadership role that blends deep Python/backend engineering expertise with proven experience in building and deploying Generative AI applications and AI agents for end-user production environments. You will be instrumental in shaping the architecture of our AI-powered products, constructing robust backend services and agentic AI solutions, and guiding engineers in delivering reliable, high-performance systems at scale.

The Foundational AI Research team in Israel is shaping next-generation autonomous driving (L3 and beyond) by advancing the state of the art in AI for autonomous vehicles. As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios. Your work will influence millions of drivers worldwide and define what’s next in autonomous driving.

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. The company is at the forefront of voice technology, processing vast amounts of audio and transcribing trillions of words. Deepgram fosters an AI-first mindset, expecting all team members to actively use, experiment with, and integrate advanced AI tools into their daily work, embracing rapid change and continuous learning. This role offers the opportunity to pioneer new paradigms in audio AI, addressing fundamental challenges in data scarcity, scale, and cost to make voice interaction universally accessible.