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.

Salary not listed

Cloudflare

You will design and build the core infrastructure that powers AI inference across Cloudflare's global network. This includes real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators. You will work alongside AI/ML engineers, hardware partners, and Cloudflare product teams to solve complex problems in distributed systems and high-performance computing. The role involves addressing challenges such as sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and developing a model deployment platform for both internal use and customer models. This is an opportunity to be at the center of building a novel AI inference platform embedded in the fabric of the internet, defining how AI runs at the edge of the network.

$194k - $266k

Cloudflare

AI inference is becoming core infrastructure, and AI Gateway is Cloudflare's solution to provide developers with reliable, observable, secure, and cost-controlled access to multiple AI models across various providers, all at the network edge. This is a hands-on individual contributor role focused on building this critical layer. You will work across the entire stack, from distributed systems and high-throughput APIs to developer-facing tools like SDKs and dashboards, shaping how developers build and operate AI applications on Cloudflare. The ideal candidate thrives in the fast-paced AI ecosystem, building durable infrastructure amidst rapidly changing APIs and models, and is excited about using AI to improve the software development process itself.

$194k - $266k

Cloudflare

Cloudflare's Emerging Technologies & Incubation team builds and launches bold new products on Cloudflare’s edge network. This role is on the Durable Objects team, which powers stateful serverless applications for Cloudflare customers. You’ll help evolve the runtime and the low-level routing and storage systems that support real-time chat, multiplayer games, AI agents, and other stateful workloads at scale. We are looking for builders who see the cracks in the Internet and have the curiosity to create solutions using the latest tools, leveraging AI to ship faster and make things better.

$194k - $266k

Cloudflare

You will help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale.

$194k - $266k

Cloudflare

We are seeking an experienced Data Engineer to join our Austin team and contribute to the development of our internal data products. In this role, you will build data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. You will be involved in the entire product lifecycle, from defining requirements and designing features to implementation and ongoing ownership. You will focus on creating scalable and reliable systems to address critical business challenges, collaborating with full-stack engineers on new features and managing the data pipelines and services that support our applications. Our technology stack is diverse, encompassing languages like Go and Scala, and technologies such as ClickHouse, with continuous evolution. Many of our products also integrate significant AI components, offering opportunities to develop advanced, AI-ready data layers and work with modern AI infrastructure and tools like vector databases, MCP-based services, and Workers AI.

Salary not listed

Cloudflare

Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts. This role focuses on both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a builder with a deep technical foundation and a commercial mindset, capable of engaging from the engineer in the weeds to the executive in the boardroom across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization. You own the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion, delivering architectural value and measurable business outcomes across the entire customer lifecycle.

$214k - $336k

Cloudflare

Cloudflare is seeking a Senior Customer Engineer specializing in AI and Start-Ups to join their team in Los Angeles. This role involves working with innovative, cloud-native companies and their technical leaders to integrate Cloudflare's Developer Platform into their products and AI initiatives. You will be a technical evangelist, comfortable engaging with developers, architects, and CTOs, translating customer needs into solutions using Cloudflare's offerings like Workers, Durable Objects, Workers AI, R2, and Vectorize. This is a pre-sales role focused on technical discovery, solution design, and driving adoption within the digital-native segment, requiring a builder's mindset and a strong understanding of modern web development and AI trends.

$231k - $300k

We are seeking passionate Machine Learning Engineers to join our team and contribute to AI transformations and scaling production models. In this role, you will leverage cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to solve complex business problems in a fast-paced, collaborative environment. You will have the opportunity to design, build, and deliver ML models, scale multi-tenant platforms for model training and serving, and inform ML infrastructure decisions.

$230k - $262k

As an Applied AI/ML Lead within the Corporate Sector, Trade Surveillance Technology team, you will be responsible for delivering AI/ML enabled analytical and technical solutions that support market surveillance and regulatory compliance capabilities. You will work across the full model lifecycle—from problem framing and data exploration to model development, productionization, and monitoring, partnering closely with data science and engineering teams. You will translate ambiguous business needs into robust, production-grade AI systems while championing sound engineering and responsible AI practices. This is a hands-on technical role with growing scope for technical leadership, mentorship of junior engineers, and influence over architectural decisions.

Salary not listed

Snorkel AI

Snorkel AI is seeking an early member for its ML & Research Engineering team to help build the data and environments behind high-performing frontier and agentic AI. You will be responsible for making the process of generating and evaluating frontier AI data faster, cheaper, and more rigorous using ML and AI. This role involves studying data generation and evaluation, forming and validating hypotheses with production data, and shipping scalable solutions. You will play a key part in shaping the direction, standards, and growth of the discipline.

$208k - $315k

Turing

Turing is seeking a Senior DevOps & Infrastructure Engineer to join their global Infrastructure Engineering team. This role focuses on building and maintaining the cloud infrastructure and developer platform that powers the company's operations. You will be responsible for making systems more reliable, secure, scalable, and efficient as the company grows. This is a hands-on position for an engineer who thrives on automating manual tasks, solving complex production issues, and elevating operational excellence. You will collaborate closely with application and security teams, working across cloud infrastructure, reliability, developer tooling, and security. The role offers meaningful ownership within a globally distributed team, requiring regular overlap with U.S. Pacific Time working hours and participation in a global on-call rotation.

Salary not listed

PermitFlow

PermitFlow is redefining how America builds by leveraging applied AI to tackle complex information challenges in the construction industry. Our AI agent workforce assists construction companies with permitting, licensing, inspections, and project closeouts, accelerating development across the country. We have already delivered significant improvements in speed, accuracy, and visibility for over $20B in development. As the U.S. enters a new capital expenditure supercycle, joining PermitFlow means building the AI infrastructure at the core of every construction project driving this next wave of reindustrialization. We are a well-funded, high-growth company with backing from top-tier investors and leaders in the AI and construction tech space.

$250k - $300k

Vectara

Vectara is seeking a Senior/Staff Platform Software Engineer to build and scale the core infrastructure powering their AI agent platform. This role involves designing robust services and scalable systems with a focus on automation, observability, reliability, and performance. You will work on AI-assisted coding, lead code and system design reviews, and mentor team members. The position requires designing, implementing, and maintaining scalable and secure backend services, driving infrastructure automation, CI/CD, and monitoring pipelines, and collaborating with product and research teams to deploy and optimize ML/NLP workloads. You will also lead initiatives to improve system reliability and scalability, contribute to architecture decisions, and champion best practices in code quality and DevOps.

Salary not listed

Machinify is a leading healthcare intelligence company that provides value, transparency, and efficiency to health plan clients. Our AI-powered platform and expertise are used by over 85 health plans, representing more than 270 million lives. We are constantly innovating to improve financial outcomes and reduce healthcare costs. As a Senior Data Engineer (Analytics), you will be responsible for transforming raw operational data into actionable insights for business leaders. This role focuses on data modeling and measurement enablement, working closely with business stakeholders to understand their needs and translate them into certified models, robust metric definitions, and user-friendly reports. You will be instrumental in unifying data from multiple platforms into a single measurement model across diverse client workflows.

$170k - $200k

SpaceXAI is seeking an engineer to join our RL infrastructure team and help develop our evaluation infrastructure. This role involves building highly reliable, efficient, and user-friendly systems to run evaluations at scale. You will collaborate with modeling and evaluation teams to develop new evaluations, maintain signal quality, and create internal tooling for training next-generation models. A key part of this role is identifying and resolving performance bottlenecks across the entire evaluation infrastructure stack, including inference, capacity fleet management, and asynchronous evaluation orchestration.

$180k - $440k

SambaNova

SambaNova is seeking a Principal Place and Route (PnR) Engineer to join our team. This role involves developing and tuning the software that maps dataflow graphs onto SambaNova's Reconfigurable Dataflow Unit (RDU). You will work on partitioning, placement, and routing algorithms to optimize the mapping of customer workloads, including large language model inference and training, onto our hardware. Your contributions will directly impact the throughput and performance of compiled programs and will be integrated into production releases.

$0k - $1000k

Crusoe

Crusoe is seeking a Senior Production Engineer to join their team and ensure the reliability and scalability of their AI-optimized cloud platform. This role is crucial for building and operating managed AI services at scale, focusing on delivering highly available, performant, and cost-efficient AI infrastructure for compute-intensive, latency-sensitive workloads. The ideal candidate will have a strong background in distributed systems and hands-on experience with large language models, contributing to the future of AI infrastructure.

$170k - $205k

Distyl AI

Distyl AI is seeking an AI Engineer to build and operate production AI systems that deliver business value within customer environments. This role is for engineers who excel in ambiguous problem spaces, take ownership of outcomes, and are eager to work directly on AI systems that must perform reliably under enterprise constraints. AI Engineers are hands-on builders who design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate operational needs into concrete system behavior, build the necessary software and AI workflows, and continuously improve systems through evaluation, feedback, integration, and production iteration. This is a practical role focused on making AI systems work effectively in real-world scenarios with users, data, and accountability for production outcomes.

$180k - $250k

Dscout

Dscout is seeking a Senior Forward Deployed Engineer to join their AI Training & Evals team. This new unit focuses on generating human data and evaluations to ensure AI models perform effectively for real users in real-world contexts. You will partner with Strategic Project Leads to translate customer needs into technical plans, build necessary components, and ensure the quality and delivery of data for AI training and evaluation. This role offers the opportunity to work on cutting-edge AI problems, build on an existing mature platform, and directly influence product development by identifying customer needs and contributing to the core platform.

$250k - $400k

Databricks

We are seeking a Partner Engineer to manage the technical relationships with Databricks' strategic AI partners, including Anthropic, OpenAI, and Google Gemini. In this high-impact role, you will be responsible for co-owning the joint roadmap with partner product teams, driving the development of integrations that enhance both platforms, and actively engaging with new product features and tooling. You will collaborate with partners to create Proofs of Concept (POCs), demonstrations, and hands-on labs that will ultimately form the architectures our customers deploy. This position offers direct visibility to our founders and executives and sits within the Partner Engineering team, working closely with Product, Engineering, Strategic Partnerships, and Global Go-to-Market teams.

$175k - $240k

Anthropic

As a Senior Software Engineer on the Life Sciences team, you will build and maintain biology software for use by Anthropic's scientists and the wider research community. This role involves accelerating biological progress with AI, combining frontier models with hands-on research. You will be responsible for the quality and reliability of released tools, pipelines, datasets, and benchmarks in genomics and structural biology, ensuring they are usable, trustworthy, and well-documented for external researchers. You will also represent the team within the computational biology community, contributing to public repositories, answering issues, and speaking at conferences. The role emphasizes using AI coding agents heavily in the software development lifecycle, holding agent-generated code to the same high standards as manually written code.

$300k - $320k

Latitude AI, a subsidiary of Ford Motor Company, is developing an in-house autonomous driving platform, the Ford Fathom, set to debut in 2027. The Unified Model development team focuses on creating advanced computer vision and machine learning models for tasks like 3D object detection, lane line detection, and state estimation. These models generate representations of static and dynamic actors, crucial for downstream autonomy systems such as motion planning and prediction. The team's goal is to transition these compute-efficient, multi-view, multi-sensor deep learning models from research to production-grade, onboard vision systems for vehicles, ensuring real-time reasoning about the world.

$179k - $269k

OpenSpace is seeking a Sr. AI Research Engineer to build sophisticated agentic systems capable of reasoning across a vast array of project data, including 360° imagery, point clouds, BIM models, and technical documents. This role involves developing the layer above perception primitives, integrating frontier models to answer complex construction project questions and ensuring the answers are verifiable for practical application. The work is focused on applied research, tackling challenges in agentic reasoning, tool design, and ensuring high-confidence outputs for production deployment.

CA$181k - CA$230k