Senior AI Engineering Jobs

Parloa

As a Staff Product Engineer at Parloa, you will work directly within our most strategic enterprise customers to build the software that powers their AI agents in production. You will be responsible for extending Parloa's platform, AMP, by developing custom integrations and capabilities that meet specific customer needs, especially in complex scenarios where off-the-shelf solutions are insufficient. This role involves both long-term engagements, where you'll deepen integrations and grow use cases within an account, and short-term experiments to test new ideas. You will act as the technical lead, owning the architecture and build, and ensuring production quality, security, and adherence to data handling standards. You will also mentor other engineers, contribute to hiring, and set the standard for AI-assisted work validation.

Datadog

Datadog AI Research (DAIR) is seeking a Research Manager to lead a team focused on fundamental research in foundation models and world models. This role involves advancing large-scale pre-training and multimodal learning using diverse signals from distributed 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.

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 looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost.

NVIDIA is seeking a Senior System GPU Performance Engineer to join their Silicon Co-Design Group. This role focuses on maximizing the performance and power efficiency of production GPU systems by analyzing workload behavior, silicon capabilities, software policies, and platform constraints. You will be responsible for identifying bottlenecks and implementing improvements, owning the entire process from hypothesis to root-cause closure and product impact. This is a hands-on role that turns complex system data into faster, more efficient, and predictable products.

Salesforce is seeking a highly experienced Field CTO to serve as the most senior technical voice on Data 360 in EMEA. This role requires deep expertise in the Salesforce Platform and modern data platforms, enabling you to architect solutions alongside customer Chief Architects and educate internal teams. You will be a data-first professional, fluent in headless and agentic AI, with a strong sales-driven presence and C-level credibility. The position involves thought leadership, strategic architecture in complex deals, and building reference architectures and technical go-to-market narratives. You will act as a long-term trusted advisor to strategic accounts, influencing the market's view of data-first AI.

NVIDIA is seeking a Senior System Software Engineer with deep expertise in speech technologies to support enterprise and developer customers. This role involves hands-on technical engagement with customers to implement, troubleshoot, and optimize Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Language Models (ALM), and Speech-to-Speech (S2S) systems in production environments. If you're creative and passionate about solving real-world conversational AI problems, join our Speech AI Engineering team at the forefront of technological advancement.

Anduril Industries

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

d-Matrix

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

Tennr

Tennr is seeking a high-agency Senior Backend Engineer to connect advanced ML research with practical product delivery. You will architect and develop agentic workflows designed to tackle complex healthcare processes, addressing infrastructure, workflow, and user experience challenges within the U.S. healthcare system. This role involves constructing data pipelines, evaluation frameworks, and scalable, production-ready agentic systems. You will be tasked with identifying and implementing the most suitable tools and models for each specific workflow, ensuring optimal technology utilization.

$190k - $215k

Retool

Retool is building the platform that makes custom software, especially AI-powered applications, safe to ship. As AI empowers more people to build software, the risk of shipping ungoverned applications grows. Retool provides a platform that connects to business data, enforces enterprise policies, and allows teams to create and reuse components safely. This role focuses on building the agent platform behind Retool's AI products, owning model-driven behavior in production, and ensuring the reliability, affordability, and scalability of agentic products used by engineering teams.

$164k - $306k

SambaNova

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

OpenAI

The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer, you will work with industry-leading technology companies to integrate new AI capabilities into their products. This role involves partnering directly with experienced product and engineering teams to transform frontier model capabilities into new features and agentic experiences, combining rapid experimentation with the demands of established products. You will take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale, writing and debugging code, building evaluation systems, and resolving complex integrations. Success is measured by production systems, sustained adoption, and meaningful customer impact.

$251k - $278k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Anthropic

Anthropic is dedicated to building AI systems that are safe, reliable, and steerable, aiming to benefit both users and society. This role is central to advancing Reinforcement Learning (RL), the core technology enabling Claude's reasoning, coding, and autonomous capabilities. The RL Scaling team focuses on how RL performance, stability, and learning efficiency evolve with increasing model size, episode length, and compute power. You will be instrumental in developing and scaling next-generation RL algorithms and architectures, from initial research to large-scale deployment, while deeply understanding and addressing the challenges that arise at scale. This position bridges research and engineering, requiring you to build the systems that accelerate iteration and experimentation, and to tackle complex, unsolved problems in Anthropic's largest RL runs.

$500k - $850k

Datadog

Code Intelligence is at the intersection of agentic engineering and product, running agents against real customer source code in production. This role offers the opportunity to lead an AI-native team in a business-critical growth area, providing high visibility and leverage within the fastest-growing segment of the AI agent space. Datadog operates as a hybrid workplace, valuing office culture for collaboration and creativity while ensuring employees can achieve work-life harmony.

$192k - $240k

CoreWeave

CoreWeave is seeking a Senior AI Platform Engineer to lead the design, implementation, and governance of AI tools for employees. This role involves owning the AI tools used daily across various platforms, ensuring their safe adoption through integrated identity, device, and tenant-level controls. The ideal candidate is passionate about AI's bleeding edge, enjoys rapid learning, and has a strong background in production software/SRE engineering, hands-on LLM/agent work, and enterprise IT controls. Success in the first year means enabling employees with frontier AI capabilities quickly and securely, establishing a robust AI operating framework, and building foundational controls for AI tool adoption.

$182k - $242k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k

We are seeking a highly skilled and visionary Full-Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks. As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise. The Marketing and Messaging team, supported by Enterprise Platforms Technology (EPTech), drives hyper-personalized consumer experiences through enterprise scale, governance, and architectural practices. You will lead a portfolio of diverse technology projects, architect and scale large-scale, cloud-native systems, and innovate with AI/ML technologies to power hyper-personalized user experiences.

$230k - $262k

Salesforce is seeking a highly accomplished technologist to join their Forward Deployed Engineering Team as an Expert Agent Builder. This role is at the pinnacle of AI technical expertise, focusing on architecting, designing, and building complex agentic systems to solve challenging customer problems. The successful candidate will translate ambiguous customer needs into concrete, executable AI solutions, driving transformative AI solutions by tackling the technical frontier of intelligent automation. This involves building first-of-their-kind, best-in-class experiences for major brands, including headless agent automations, dynamic AI-driven custom user interfaces, and complex multi-agent solutions. The role demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments.

$158k - $288k

Latent is seeking a Machine Learning Engineer to join their team and build systems that run in real clinical workflows. This role involves owning the design, development, and operation of production-grade ML systems from ambiguous problem definition through to reliable production deployment. The ideal candidate will drive systems end-to-end, setting technical direction and taking ownership of critical systems that directly impact real patient outcomes. This is an opportunity to work on mission-critical problems at the intersection of AI and healthcare within a fast-growing, early-stage company backed by top-tier investors.

$225k - $300k

Salesforce is seeking a Senior AI Engineer to join the Agentforce Operations team, a high-velocity 'startup-within-Salesforce' focused on revolutionizing the public sector supply chain with an AI-powered platform. This role offers the unique opportunity to build a '0 to 1' product in a rapidly growing vertical, working alongside a founding team with deep startup roots but backed by the global scale of Salesforce. You will be instrumental in shaping both the product and the engineering team, partnering with product leaders and sector experts to deliver trusted AI systems for mission-critical public-sector workflows. The role involves building AI features tailored to public-sector customers, designing systems with security, compliance, reliability, and operational constraints at their core, and operating with wide autonomy to raise the bar for technical quality and mentorship.

$149k - $224k

We are seeking Machine Learning Engineers passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. You will deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with Product, Architecture, Engineering, and Data Science teams. You will drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems and lead large-scale ML initiatives with the customer in mind.

$315k - $359k

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

$269k - $307k

Capital One is seeking passionate Full Stack Software Engineers to join their Agentic Technology team. You will be instrumental in building and pioneering AI features and products, solving complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to be at the forefront of driving significant transformations within the company by leveraging emerging technologies and data.

$179k - $205k