Senior AI Engineering Jobs

Jeeves is seeking a Senior AI Engineer to own AI workflows end-to-end, from design and implementation to measurement and continuous improvement. This hands-on role requires an AI-native approach, utilizing coding agents and AI tools daily to drive efficiency. You will collaborate closely with Product and Backend Engineering teams, taking initiative to define and build solutions rather than waiting for detailed specifications. The position is ideal for individuals who thrive on solving complex problems and are looking for a steep learning curve in a fast-growing fintech company.

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text, text-to-speech, and building voice agents. We are seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role requires an AI-first mindset, comfort with rapid experimentation, and a drive to push the boundaries of AI technologies. You will work on challenges that require entirely new paradigms for audio AI to make voice interaction accessible to everyone.

Deepgram

Deepgram is seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role involves pushing the boundaries of audio AI by developing next-generation neural audio codecs, steerable generative models, and advanced embedding systems. The goal is to create entirely new paradigms for audio AI that make voice interaction accessible to everyone, overcoming limitations of current sequence modeling. You will focus on solving complex problems related to data scarcity, high dimensionality, and computational costs in audio processing.

Capital One is building responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, using machine learning to create personalized customer experiences and bring humanity and simplicity to banking. Our Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing the state of the art in AI science and engineering. We build and deploy proprietary solutions that deliver value to millions of customers and empower teams across Capital One with AI capabilities in responsible and scalable ways. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

$230k - $262k

Moveworks is seeking a Senior Staff Software Engineer to join our Agentic AI Harness & Quality team. This role is for experienced software engineers looking to apply their skills at the forefront of AI agents. You will play a crucial part in advancing the capabilities and reliability of AI agents for enterprise use at scale. You'll contribute to the evolution of our AI Assistant platform, focusing on areas like agent orchestration, secure code execution, performance optimization, agent memory, LLM self-reflection, and knowledge graphs. You will leverage modern enterprise AI tools, including leading LLMs, and work within a team that prioritizes rapid development, scalable infrastructure, and pushing the boundaries of AI value for customers.

OpenAI

API Agents is building the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems capable of reliably completing real work. This role focuses on building the core systems behind the next generation of agents, designing reliable services and abstractions that help agents find context, use tools, retain knowledge, coordinate workflows, and take action safely. The position combines deep backend and infrastructure work with strong product judgment, offering opportunities to work across agent runtimes, orchestration, search, execution environments, identity, observability, and evaluations. Success in this role hinges on strong backend fundamentals, high agency, and the ability to translate fast-moving research into dependable production primitives.

$266k - $445k

As a Senior Lead Software Engineer at JPMorgan Chase, you will be a key member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. Your role involves designing and delivering market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You will implement critical technology solutions across multiple technical areas to support business objectives and drive innovation in ML platform capabilities.

Tenstorrent is seeking engineers to work at the hardware/software boundary, defining how hardware blocks are initialized, coordinated, and used by the runtime. You will determine how workloads are dispatched, scheduled, synchronized, and executed across the accelerator, solving complex performance problems through implementation, bring-up, and debugging. This role involves defining the runtime architecture and implementation that controls execution, scheduling, synchronization, and resource management across Tenstorrent’s custom processor, accelerator, memory, and data-movement IP. You will build low-level runtime components, design runtime interfaces, and analyze bottlenecks across the runtime and hardware/software stack to drive improvements in latency, throughput, scalability, and reliability.

$100k - $500k

Cognition

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.

Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.

Code Metal

Code Metal is seeking a Senior Software Engineer for its AI Platform team. This role involves designing, building, and operating the foundational AI enablement stack that powers the company's AI-driven code solutions. You will contribute to critical components such as GPU inference serving, model gateways, agent harnesses, context engineering, observability, and AI experimentation management. While this is an internal platform, it is built to product standards. The position offers the opportunity to eventually own a specific area, like model serving or agentic infrastructure, while also contributing broadly across the stack. The role requires a blend of strong software engineering skills with solid data science and AI research fundamentals, including occasional experimental work to inform platform decisions.

$170k - $210k

Vercel

Vercel is seeking a Machine Learning Engineer for its Trust & Safety Engineering team. This role focuses on building and operating production systems to detect and prevent platform abuse at scale. It's an engineering-intensive position, with approximately 80% of the time dedicated to writing and deploying production code, including services, pipelines, and infrastructure, and 20% focused on modeling. The goal is to take detection and classification approaches from initial prototypes to robust, production-ready systems.

$208k - $312k

Capital One is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are investing in technology and talent to lead in enterprise AI adoption. Our AI applications bring humanity and simplicity to banking, from fraud detection to real-time customer support. We are committed to building world-class applied science and engineering teams to deliver breakthrough products and scalable AI infrastructure. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing AI science and engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance products responsibly and at scale.

$197k - $225k

As a Lead Software Engineer within Enterprise Technology, you will spearhead the architecture and hands-on implementation of scalable large language model (LLM) systems and agentic AI platforms tailored for enterprise use cases. You will design cloud-native solutions, establish robust evaluation and observability standards, and guide technical decisions across teams to enhance reliability, manage costs, and improve developer velocity. This role involves building and scaling production AI platforms that translate LLM capabilities into dependable, secure, and measurable business outcomes, partnering with product and engineering teams to design architectures, deliver reusable components, and elevate quality through strong engineering practices and technical leadership.

Lead performance optimization for large-scale AI workloads, transforming them into faster and more efficient systems. This role involves analyzing and optimizing AI training and inference across distributed systems, connecting compute, memory, and networking behavior. You will lead complex performance workstreams, identify bottlenecks, validate improvements, and translate performance data into actionable engineering decisions. The position requires building benchmarks, profiling demanding workloads, and developing C++ and Python tools for analysis and optimization, ultimately helping teams enhance efficiency, scalability, and reliability. This role offers broad technical scope across AI infrastructure at data center scale.

Capital One is at the forefront of leveraging AI to create responsible and reliable AI systems that are transforming banking. The Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions of customers. This role will partner with cross-functional teams to deliver AI-powered products, oversee the design and development of AI software components, and make critical build-vs-buy decisions across a broad stack of AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques, contribute to the technical vision and roadmap of foundational AI systems, and attract and retain top talent in the AI industry. The role also involves scaling AI engineering practices, establishing enterprise standards for Responsible AI, and partnering with research and risk teams to ensure ethical and regulatory compliance.

$245k - $279k

As a Senior Lead Software Engineer within the Commercial & Investment Bank Digital Channel's team, you will be instrumental in building autonomous agent capabilities. These agents will be responsible for planning, executing, validating, and submitting code changes in bulk. The role emphasizes the development of evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness to ensure the safe scaling of machine-authored changes across various initiatives like runtime upgrades, framework migrations, security remediation, and standards adoption.

As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads, shaping decisions across hardware, software, networking, and system architecture. You will lead complex performance investigations, from model behavior to multi-node scaling, translating profiling, benchmarking, and modeling evidence into technical roadmaps and engineering priorities. This role offers rare influence across AI infrastructure at data center scale, guiding strategy, resolving tradeoffs, and raising performance-engineering standards across the organization.

As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication, and software behavior, owning complex performance investigations from problem definition through validation. You will translate profiling, benchmarking, and modeling results into actionable improvements for engineers. This role offers broad scope across hardware, software, networking, and system architecture, contributing to Graphcore's delivery of efficient and reliable AI systems for large-scale deployment.

PALO IT is seeking an AI Tech Lead in CDMX to spearhead the design and implementation of robust AI-driven applications. This role is within a global technology consultancy with a trademarked, AI-first approach, Gen-e2™, redefining how enterprises build digital products and transform organizations with AI. The company is a World Economic Forum New Champion and a B Corp-certified company, operating across 9 countries with over 400 experts. They are becoming an agentic organization, adopting an AI-native operating model.

FAR.AI is seeking a Tech Lead Manager for its GPU Cluster Infrastructure team. This role involves leading a sub-team focused on managing and scaling the organization's GPU compute platform, which supports cutting-edge AI safety research. You will be responsible for the technical direction and roadmap of the platform, ensuring its performance, fault tolerance, and security, especially as AI agents increasingly utilize the cluster for experiments. This position requires a blend of technical expertise and leadership, with at least half of your time dedicated to hands-on engineering work. You will also be responsible for hiring and growing the infrastructure team, setting priorities, and providing mentorship.

$225k - $325k

Aleph Alpha

Aleph Alpha is seeking a Senior AI Researcher to join their Pre-training team, focusing on advancing the architecture and training of next-generation foundation models. This role involves designing inference-efficient architectures, optimizing large-scale training recipes, and working with thousands of NVIDIA GPUs. The position is ideal for someone excited about the intersection of research and engineering, translating mathematical reasoning into principled training decisions from small-scale experiments to large-scale runs. The researcher will influence model quality, run reliability, and efficiency by combining rigorous experimental design with high-quality production code.

voize

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimizing new and existing AI models for specialized hardware. You will work on large-scale systems where performance is critical to project success, with visibility across the entire pipeline from hardware to AI applications. This role involves close collaboration with researchers in a rapidly evolving field, requiring continuous learning and adaptation to new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation at scale. This position offers flexibility through a hybrid working model from our UK offices.