Senior AI Engineering Jobs

Cerebras

Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.

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At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. This role is central to our Anthropic practice, leading client conversations, demos, and delivery sessions to showcase the capabilities of Claude Code and Claude Cowork. You will be the primary technical expert, engaging with engineers and knowledge workers to provide direct answers and solutions. Your involvement begins early in the sales cycle, during discovery calls and technical scoping, to help prospects understand the possibilities before they commit. This is a hands-on role requiring direct experience with configuring agentic workflows, writing custom skills, and integrating with MCP systems.

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This role focuses on designing and developing data-driven and machine-learned approaches for vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods. You will develop learned models of vehicle behavior and dynamics, integrate them into closed-loop simulation, and apply machine learning to improve controller adaptation across vehicles and operating conditions. You will own problems end-to-end, from conceptualization and offline experimentation through simulation and on-vehicle validation, and build necessary data pipelines, evaluation metrics, and tooling to measure performance against classical baselines. This is an opportunity to be part of a multidisciplinary team using an AI-first approach to enable safe self-driving at scale and define how learning and classical control coexist in a safety-critical stack.

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Lightning AI is seeking a Senior Software Engineer to join the Training & Experimentation team. This team builds the platform that enables developers to experiment at scale and train their own intelligence, covering everything from foundation model training to fine-tuning open-source models and launching distributed training jobs. The role involves designing and scaling backend systems to make AI development faster, more reliable, and easier to use, working across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs. This is an opportunity to build systems that support real-world AI workloads at scale and shape the developer experience for a global user base.

$180k - $250k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Full stack Engineer, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for strong full stack engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$160k - $200k

The AI Quality and Productivity team is responsible for empowering Quality and Warranty teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle. As a Senior Software Engineer, you will develop data-intensive and AI-enabled software applications supporting Product Development engineering teams, working with complex data requirements and delivering solutions using industry-standard practices across SQL, Databricks, and modern programming languages like Java and Python. You will design and build software and data solutions with a strong focus on data quality, performance, and reliability, while also advising, coaching, and mentoring other engineers and shaping how teams access and use data and AI.

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Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

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Cerebras

Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.

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Lightning AI is seeking a Senior Software Engineer to join their Agents team, focusing on building the infrastructure for the next generation of AI applications. This role involves designing and developing backend systems for AI agent orchestration, tool execution, workflow management, and state handling. You will create scalable APIs and reliable infrastructure for long-running, distributed AI workflows, partnering with product, research, and platform engineering teams. The goal is to make building production-ready agentic applications as simple as deploying any modern software service, ensuring these capabilities are reliable, scalable, and intuitive for developers.

$180k - $250k

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

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We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

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Artos

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

Perplexity AI

Perplexity is seeking a Technical Program Manager to act as the central point of contact between our model providers, engineering, and product teams, driving the advancement of our core inference platform. This role is crucial for managing one of the industry's highest-throughput inference stacks, serving diverse traffic across a dynamic portfolio of models. You will operate at the nexus of product, engineering, and finance, coordinating the smooth integration of new models and capacity while executing the roadmap for the inference platform itself. The ideal candidate possesses strong technical acumen, excels at coordinating diverse teams and external partners with competing deadlines, and is motivated by establishing operating models for functions with limited precedent.

$170k - $265k

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k

RevenueCat

RevenueCat is seeking a Senior Software Engineer to focus on building advanced AI agents that empower app developers to manage subscriptions and grow revenue. You will work on agentic features that handle orchestration, tool execution, context management, evaluation, and human-in-the-loop controls. This role involves shipping impactful features to thousands of developers and shaping the foundational infrastructure for these AI agents. You will be part of a remote-first team dedicated to customer obsession, shipping, ownership, and balance, working on systems that manage billions of dollars and impact hundreds of millions of users.

$230k - $230k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology with its in-house ADAS platform, set to debut in 2027. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard vehicle sensors and offboard cloud infrastructure. This role is within the Scalable ML team, which is crucial for improving the efficiency of model training and enabling ML developers to work effectively with large datasets to achieve optimal performance and advance transportation safety.

$179k - $269k

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

Runway

We are seeking a curious and thoughtful Product Engineer to join our team and help build cutting-edge AI-powered video creation and collaboration tools. This role involves developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying generative models to production. You will work on a wide variety of exciting challenges in a fast-paced, high-ownership environment, collaborating with a world-class engineering team.

$240k - $290k

TwelveLabs is building the intelligence layer for video data, enabling machines to understand video content across sight, sound, and motion. Our multimodal AI models power production-scale AI workloads in media, entertainment, sports, security, and government. We are a global company headquartered in San Francisco with offices in Seoul, New York, and London, seeking individuals driven by hard problems who want their work to matter. This role focuses on developing core capabilities for multimodal understanding, specifically structure and semantics, contributing to our unified agentic system, Jockey, and our embedding model, Marengo.

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Taktile

Taktile is seeking a Senior Full-Stack Engineer to join their Agent team, which is building a platform for creating, publishing, and executing AI-powered agents to automate complex workflows in financial services. This role will involve building and shipping production features across the entire stack, from the agent runtime and tool orchestration layer in the backend to the conversational copilot experiences users interact with daily. You will work alongside experienced engineers, contribute to product impact, and grow your skills in a fast-moving, high-ownership environment.

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Hugging Face is seeking a Senior Machine Learning Engineer to lead a significant portion of their open voice-agent stack. This role focuses on two key areas: the open-source library 'speech-to-speech' for real-time voice agents, and 'hf-voice,' a new product enabling developers to build and deploy voice agents. You will take architectural ownership, integrate new models, manage community contributions, design developer APIs, build the serving infrastructure for real-time inference, and guide the product from demo to production. The position also involves creating documentation, supporting existing deployments, and potentially sharing work publicly through blog posts or conference talks.

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