Senior AI Engineering Jobs

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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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

Anthropic

Anthropic is seeking a Manager of Applied AI Engineering to lead a team of technical engineers embedded with their largest and most strategic accounts. These partner-customers are key revenue drivers and distribution channels, utilizing Claude to transform their businesses. The team will work hands-on with these organizations, co-designing technical solutions, advising on architecture, developing evaluation frameworks, and guiding advanced implementation patterns for LLMs. The manager will be responsible for hiring, coaching, and growing the team while maintaining technical oversight and setting high engineering standards. This role involves close collaboration with various internal teams and external stakeholders to drive technical impact and shape Anthropic's product and research roadmap.

$320k - $405k

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.

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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.

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Elastic

Elastic, the Search AI Company, is seeking a hands-on Full-Stack Senior Software Engineer to join their IT Software Engineering team. This role is a 100% individual contributor position focused on developing internal enterprise-grade applications and AI-powered bots using the Elastic Stack. The team is adopting a "Build and Buy" strategy, leveraging custom solutions to replace third-party software. You will lead the technical design, development, and deployment of full-stack web applications and conversational AI bots, taking complete operational ownership of production systems.

$133k - $253k

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

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.

Salary not listed

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

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k

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.

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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.

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EnCharge AI is building the next generation AI platform, focusing on a novel in-memory-computing architecture for improved AI inference efficiency and performance. As AI demands evolve, we believe the underlying infrastructure must also advance. We are an experienced team of AI researchers, silicon & systems engineers, and architects, backed by leading investors, aiming to be the essential platform for the next wave of AI innovation. This role involves owning the "harness" layer that enables agents to interact with files, tools, documents, and memory, managing permissions and unattended execution. This layer will be built using a combination of open-source and bespoke code, requiring you to keep pace with rapidly changing models and ensure reliable tool use across different model qualities.

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