Senior AI Engineering Jobs

d-Matrix

d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.

$175k - $265k

Confido

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Temporal

Temporal is seeking a Staff Software Engineer to lead AI agent optimization efforts. This role involves designing and building tools and mechanisms to help users optimize AI agents for token spend, response time, and result quality. You will focus on techniques like model routing, multi-agent architecture, cache policy, and context management, requiring direct experience in this problem domain. You will collaborate with other AI Foundations team members on agentic development, ecosystem integrations, and policy/security systems, blending theory and practice to solve customer problems and ship fast.

$170k - $278k

Anduril Industries

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Maritime Digital Production (MDP) team builds and deploys the full technology stack for Anduril's shipbuilding factories, including data infrastructure, manufacturing execution systems, scheduling engines, and AI systems. This role is for a Machine Learning Engineer on the Applied Intelligence initiative, acting as a bridge between ML research and production operations. You will own the infrastructure that brings ML prototypes to production-grade systems, working at the intersection of data engineering, MLOps, and production operations. The role requires translating ML requirements into production infrastructure, coordinating across teams, and serving as an on-call owner for deployed ML systems, ensuring AI applications function reliably 24/7 in real manufacturing environments.

$220k - $292k

As an AI Senior Developer Manager within the Assurance practice, you will lead the development of innovative software solutions to drive digital transformation and enhance business performance. You will focus on designing, coding, and testing applications that revolutionize industries and deliver exceptional user experiences. This role involves motivating, developing, and inspiring your team, coaching members to leverage their strengths and meet client expectations. You will take ownership of projects, ensuring successful planning, budgeting, execution, and completion, while analyzing system interactions and encouraging skill development outside comfort zones. Embracing technology and innovation is key to enhancing delivery and identifying opportunities for the firm's success.

$99k - $252k

General Motors is leveraging AI to streamline work processes, reduce manual effort, and enable engineers and business teams to focus on higher-value outcomes. As a Principal Engineer, AI Acceleration, you will identify impactful opportunities and then design, build, and scale AI-powered tools that significantly improve how people work. This is a hands-on technical leadership role focused on shipping tools that deliver substantial improvements, not just incremental gains. You will collaborate directly with various teams across the company to understand their challenges, moving from discovery and prototyping to production-quality solutions while adhering to standards for security, privacy, reliability, responsible AI, and supportability. The ideal candidate can create clarity from ambiguity, balance strategic thinking with technical implementation, and measure success by tangible outcomes.

Salesforce is seeking a technical leader for its AI Core team to build durable, high-quality systems that address complex AI challenges. This role involves developing retrieval systems and agent infrastructure, enabling AI agents to effectively find, trust, and utilize knowledge. You will also create developer tooling to help engineers across the company rapidly and safely deploy production agents. The position offers end-to-end ownership, from scoping and implementation to deployment and iterative improvement, within a high-ownership, high-velocity environment focused on AI and product development.

$173k - $260k

d-Matrix

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future of AI. The Inference Cloud Engineering team is responsible for the deployment and orchestration technology behind d-Matrix’s inference services, including an internal cloud for model testing and a customer-facing cloud with self-service inference endpoints. This role will own the end-to-end testing and release process for this critical software, ensuring features are proven, releases are predictable, and rollbacks are safe, even with scarce and shared hardware resources.

$155k - $235k

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Marketing Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Salesforce is seeking a Software Engineering SMTS for the Brain Team, focusing on the intelligence layer behind their AI CRM product, Piper. This role involves building, maintaining, and upgrading AI agents that qualify leads and book meetings. You will work on system prompts, model configuration, context layers, evaluations, and the underlying harness that powers Piper. The position offers a high-ownership, high-velocity environment where engineers ship customer-facing AI products at scale, with end-to-end ownership from idea to production. You will collaborate with product and AI platform teams to develop features, enhance customer experiences, and build evaluation systems to ensure agent performance and business outcomes.

$149k - $224k

d-Matrix

d-Matrix is seeking a Principal Test Automation Engineer to define and build AI-enabled automation across the software development lifecycle, from build and CI through testing and release. This role involves setting technical direction for AI-enabled workflow automation, building foundational components like agent harnesses and integrations, and developing evaluation methods to ensure automation effectiveness. You will work hands-on, shipping critical components and collaborating with other engineers to raise the bar for AI adoption in daily engineering tasks. The ideal candidate will have extensive production software engineering experience, strong Python skills, and experience shipping AI-enabled tools in production.

$195k - $285k

JPMorgan Chase's Chief Data & Analytics (AIML Data Platforms) team is seeking a Senior Lead Software Engineer to build AI foundation services for GenAI and ML at an enterprise scale. This role involves leading the hands-on delivery of secure, reliable, cloud-native platform capabilities, including Kubernetes, CI/CD, and Infrastructure as Code. You will partner with application teams to create reusable integrations, reference implementations, and onboarding assets, driving significant business impact through deep technical expertise and problem-solving across diverse technologies.

Salesforce is seeking a Senior Performance Engineer to join their Agentforce Operations team. This role is crucial for optimizing the scalability, resilience, and performance of their AI-powered supply chain platform. You will gain a deep understanding of the architecture and implement end-to-end optimizations to enhance scalability and reliability. The position involves tackling complex challenges such as optimizing data models, streamlining asynchronous operations, profiling infrastructure, and developing tools for experimentation and validation. As a subject matter expert, you will operate with autonomy, build alignment across engineering teams, and mentor other engineers, contributing to the company's ambitious scaling goals.

$149k - $224k

As a Senior Lead Security Engineer in the AI Control Engineering team, you will build and operate security services and guardrails for artificial intelligence and machine learning capabilities in production. This role involves writing and reviewing code, driving secure technical design, and leading evaluations to help the team adopt scalable, reliable security solutions.

As an Applied AI and Machine Learning Lead, you will spearhead high-impact generative AI and advanced analytics initiatives, guiding them from research to production. Your role involves leading the design, evaluation, and deployment of foundation-model and agentic AI capabilities aimed at enhancing decision-making, automating tasks, and elevating engineering standards for reliability and governance. You will collaborate closely with product, engineering, and risk stakeholders to establish clear, measurable outcomes and deliver solutions that are scalable, robust, and responsibly implemented.

JPMorganChase is hiring top talent to join the growing Commercial & Investment Bank Technology organization within Digital & Platform Services / Data Analytics. You will serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. This role focuses on building production AI agents on NEO that leverage the firm’s scale, data, and full-service advantage to deliver measurable impact across the Commercial & Investment Bank and Payments. As a Senior AI Application Engineer, you’ll design, productionize, and operate LLM-powered agents on NEO (the firm’s agent runtime PaaS on AWS/Azure), partnering closely with business, product, and engineering teams in a fast-paced environment.

PALO IT is seeking a DevOps Engineer in CDMX to design, implement, and maintain scalable and efficient cloud infrastructure on AWS. This role involves developing CI/CD pipelines for software deployment, automating tasks with Infrastructure as Code tools, and monitoring application performance. The engineer will collaborate with development teams to integrate new technologies and ensure compliance with security standards, while also maintaining documentation for infrastructure and processes. PALO IT is a global technology consultancy with a trademarked, AI-first approach, Gen-e2™, redefining how enterprises build digital products and transform organizations with AI.

Cohere

Cohere is seeking a highly experienced Back-End Software Engineer to join their core systems team, focusing on the Model Vault platform. This platform is Cohere's inference solution for deploying and operating AI models securely at enterprise scale. The role involves defining and evolving the architecture of systems that handle identity, deployments, metering, billing, security, privacy, and confidential computing. You will work on scaling these systems to support millions of users and demanding enterprise workloads, ensuring reliability, security, performance, and simplicity in a domain with unique challenges.

$205k - $315k

Cosine is seeking an Applied ML Technical Lead to join their UK AI lab, focusing on developing and deploying advanced AI capabilities for UK Defence and national security organizations. This is a hands-on technical leadership role where you will guide the technical direction and day-to-day progress of applied ML projects, translating research into operational capabilities. You will work across machine learning development, deployment, and customer-facing technical delivery, potentially involving training and evaluating models on complex sensor data, and engaging with Defence stakeholders to understand needs and shape priorities. The role requires coordinating ML researchers, software engineers, and infrastructure teams, identifying and resolving technical risks, and establishing clear evaluation criteria to demonstrate progress through measurable improvements and working capabilities.

Aleph Alpha

Aleph Alpha is seeking a Senior Performance Engineer to join their pre-training efficiency team in Heidelberg. This role focuses on optimizing the systems required to train foundation models at scale, aiming to maximize hardware utilization and training throughput on large-scale GPU clusters. You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture to eliminate bottlenecks from the Python layer down to the GPU kernel. The team fosters a culture of ownership, autonomy, and empowerment, with a flat organizational structure that enables quick decision-making and open communication.

Ema builds AI Employees for HR, IT, and Finance, taking on busy work so people can focus on more impactful tasks. Founded by former executives from top tech companies and backed by leading investors, Ema is at the forefront of Agentic AI in production, shipping real systems that run business processes at scale. This role focuses on ensuring the security of AI agents and the platform they operate on, especially as they interact with sensitive enterprise data and systems. You will build security controls for autonomous agents in multi-tenant environments, addressing zero-trust challenges and securing various attack surfaces including LLM orchestration, tool integrations, code execution, and browser automation.

NVIDIA is developing the foundational software for the next generation of AI infrastructure, focusing on evolving Kubernetes and the cloud-native ecosystem to support advanced AI workloads. The team's mission is to establish Kubernetes as the premier platform for AI, actively contributing upstream to Kubernetes and CNCF projects. As a Senior Software Engineer, you will address complex challenges at the intersection of Kubernetes, distributed systems, and AI infrastructure, working with open-source communities to shape the future of cloud-native AI.

As a Lead Software Engineer - Agentic AI, you will be an integral part of an agile team focused on delivering trusted technology products in a secure, stable, and scalable way. You will collaborate with senior stakeholders to design and drive the growth of Data and Analytics solutions, enabling data-driven sales growth strategies. This role involves hands-on engineering to drive intelligence automation and build agentic AI on the firm's agent runtime platform. You will be responsible for delivering critical technology solutions across multiple technical areas to support business objectives.

Capital One is at the forefront of leveraging AI to transform banking, creating responsible and reliable AI systems that enhance customer experiences. We are building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing the state of the art in AI engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with AI in responsible and scalable ways.

$197k - $225k