Senior LLM Engineer Jobs

Stripe

Stripe is seeking an Engineering Manager for its newly formed AI Conversation Platform team. This team is focused on building a comprehensive conversation platform for Stripe merchants, aiming to automate simple tasks and assist users with complex ones. This includes features like customizing landing pages, enabling natural language commands for the Stripe API, and automating issue resolution. The team works end-to-end, from ideation to production deployment, utilizing RAG-based systems with the latest LLMs and fine-tuning their own models.

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Join our International Consumer Banking Chief Data & Analytics Office as an AI/ML Governance Control Manager, where you will shape the future of responsible AI adoption. You will collaborate with diverse teams, drive firmwide programs, and grow your career in a dynamic, innovative environment. At JPMorgan Chase, you will find opportunities for mobility, skill development, and the chance to contribute to industry-leading initiatives. As an AI/ML Governance Control Manager, you will own oversight and continuous improvement of the AI/ML governance control environment. You will partner with Technology, Compliance, Legal, Audit, and Operational Risk stakeholders to assess control health, drive remediation, and implement global programs, ensuring our AI/ML adoption is sustainable and impactful.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping human-level intelligence. The Helix team is seeking an experienced AI Training Performance Engineer to elevate model training. This role focuses on enhancing distributed training frameworks for large-scale model training, optimizing GPU kernels, evaluating different accelerator types, and co-designing models for maximum hardware utilization.

$200k - $400k

As a Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate within the Global Technology team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

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Athelas

Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform spans the full care journey with Ambient AI, intelligent Agents, and autonomous RCM processing. We are at the center of transforming healthcare's $1 trillion administrative burden, with over 500,000 clinicians trusting our platform. Our Air AI team specifically is developing the intelligence layer within the clinical workflow, enabling listening, documentation, reasoning, and action to alleviate clinician burden. This involves real-time transcription, a conversational clinical assistant, and an AI Skills Library for automating clinical tasks.

$170k - $230k

Anthropic

As a senior data science leader for Model Experience, you will play an instrumental role in shaping data-informed decision-making across the organization. You will be a strategic thought partner to product, engineering, and research leaders, influencing model roadmap and launch decisions by providing insights into user experience and model performance beyond benchmark scores. In this tech lead manager role, you will also be responsible for hiring, managing, and developing a team of data scientists, setting their agenda, leading high-stakes analyses, and elevating the impact of data on model and product decisions.

$380k - $460k

MongoDB is seeking a Software Engineer in Sydney to join the Application Modernisation Platform (AMP) team. This role focuses on building intelligent tools that guide customers through modernizing their applications from legacy systems to MongoDB. The App Analysis & Modelling team specifically develops code analysis tools to create dependency graphs and generate insights into existing codebases, as well as schema recommendation engines. This work intersects analysis, data modelling, and AI, empowering developers to make data-driven decisions during their transition. The ideal candidate will have strong backend engineering fundamentals with the ability to contribute across the full stack, and will collaborate with product management and other engineering teams to deliver cutting-edge features.

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Accenture

Accenture Technology is seeking a highly qualified AI/ML Senior Manager Engineer to join their team in Lisbon. This role involves influencing and advising multiple teams while delivering innovative Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in AI/ML technologies, cloud-based AI services, and Database Architecture, with a focus on designing scalable, production-ready platforms for advanced analytics and intelligent applications. The position requires a professional capable of leading architectural and technology decisions and driving innovation by evaluating emerging AI technologies.

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Capital One is seeking a Director of AI Engineering to lead the development of responsible and reliable AI systems that are transforming the banking industry. This role is central to the Intelligent Foundations and Experiences (IFX) team, which empowers other teams with Generative AI models and platforms. You will oversee the design, development, and deployment of AI software components, including foundation model training, LLM inference, and model evaluation. The position involves making critical build-vs-buy decisions for AI technologies and contributing to the technical vision and roadmap for foundational AI systems. You will also be responsible for attracting and retaining top AI talent and fostering a culture of continuous learning and innovation.

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The Transformation Team at Mastercard leads strategic change initiatives to reimagine how the company operates, scales, and accelerates business outcomes. This role will partner across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, and improve operating effectiveness. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance.

$195k - $323k

Mastercard is seeking a Senior Software Engineer to join a new US-based Data & AI Platform team. This role will focus on solving shared data problems for Mastercard's analytics products, including secure data exchange, consistent business definitions, and AI-assisted data onboarding. You will be instrumental in making business definitions, metrics, and dataset relationships reusable across products, independently delivering key components, and establishing the team's engineering practices. The initial focus will involve prototyping solutions for metric versioning and data access enforcement, followed by shipping the first shared component.

$132k - $212k

Cerebras

Cerebras Systems is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Senior Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will be responsible for significant features and components within our inference APIs, model integration layer, and request-routing services, ensuring a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, requiring you to translate evolving model capabilities and customer needs into clear designs, lead implementation, and manage features through validation, rollout, and production.

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PALO IT is seeking a Senior PHP Developer to lead the migration of legacy applications to PHP 8.3+. This role is part of a global technology consultancy focused on an AI-first approach, redefining how enterprises build digital products with AI. The position is offered on a contractor (PJ) basis within a hybrid work model, contributing to an agentic organization that embraces an AI-native operating model.

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JPMC is hiring for its growing Asset and Wealth Management AI Engineering team, operating with a startup mentality to build next-generation AI applications and platforms for the financial services industry. We are seeking a hands-on AI Engineering lead and domain expert passionate about creating cutting-edge business solutions powered by AI. As a Senior Associate AI/ML Engineer, you will take a lead role in hands-on development of high-impact business solutions by analyzing data, developing advanced ML and LLM models, and deploying them to production environments on AWS or Azure. You will leverage your extensive development expertise and a drive for innovation to solve complex business problems for our Private Bank clients, embracing and encouraging the adoption of leading-edge technologies and methodologies.

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T-Mobile is seeking a Sr. Engineer for Commercial AI Forward Deployment to embed with business customers and lead the technical build for AI product deployments. This role is crucial for supporting T-Mobile's commercial AI programs, including Kinetic Edge AI (KEAI) and the broader Physical AI program, by integrating devices like cameras, sensors, drones, and autonomous vehicles. The engineer will build data pipelines, fine-tune models, deploy AI applications over T-Mobile's network and edge, and ensure seamless integration of hardware, software, networking, and AI. Success will be measured by the delivery of working deployments, production stability, and the creation of reusable components.

$164k - $295k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. This role focuses on production-grade inference for open-source, customer, and internally optimized models, owning the path from model artifact to a fast, reliable, and cost-efficient endpoint. The work involves model internals, inference engines, serving architecture, benchmarking, and production deployment.

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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, OPS Tech, 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.

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Together AI

As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to strategic customers who are using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. You will work alongside Solutions Architects as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute required. Your role is crucial in ensuring the successful delivery of post-training Proofs of Concept (POCs), driving adoption of the fine-tuning and RL platform, and translating customer goals into measurable improvements in model quality. This position directly impacts customer success, company growth, and the enhancement of our core platform.

$270k - $300k

As a Tax Innovation - AI Engineer - Senior Manager, you will lead AI engineering initiatives within the Tax practice, translating business needs into scalable AI and machine learning solutions. This role involves leveraging data, algorithms, and software engineering to develop and deploy AI systems. You will oversee multiple workstreams, contribute to technical design and implementation, validate solution performance, and guide projects from concept to practical application in tax delivery workflows. The position requires strong leadership, sound judgment, and the ability to guide teams through complexity, while also shaping clear messages and coaching others.

$124k - $335k

As a Senior Lead Software Engineer within Consumer & Community Banking, OPS Tech, you will be a key member of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and at scale. You will leverage your deep technical expertise and problem-solving skills to address diverse challenges across multiple technologies, driving significant business impact. This role involves leading end-to-end delivery of complex full-stack initiatives, setting technical direction, and architecting cloud-native microservices and APIs with a strong emphasis on security, scalability, and resilience.

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Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Glean is seeking an AI Engineer focused on Quality and Post-Training to enhance their Work AI platform. This role is crucial for improving the reliability and usefulness of AI agents by focusing on measurement and quality improvements. You will work at the intersection of applied research, quality assurance, and product engineering to refine Glean's AI assistants and autonomous agents, ensuring they can reason, plan, and act effectively across complex workflows. The position involves optimizing the entire AI stack, including agent harnesses, model routing, prompts, and retrieval, while balancing quality with performance and cost.

$200k - $280k

GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles, focusing on defining and owning what the driver can do and how it feels. We are seeking hands-on Staff and Principal Software Engineers to transform ambiguous customer problems into high-quality, production-ready experiences. This role primarily involves working with Kotlin and Android Automotive, owning features across the in-vehicle assistant stack, including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI. The focus is on product engineering, emphasizing broad engineering judgment, rapid learning, and a track record of shipping complete products. This is a small, fast-moving team where you will have substantial autonomy, stay close to the code, help shape product direction, and improve organizational software delivery processes.

$189k - $290k

Scale AI

Our Generative AI Data Engine powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. The data produced is crucial for how humanity will interact with AI. This horizontal, high-impact Staff Fullstack Engineer & Architect position reports directly to the Director of Contributor Engineering. Your scope spans across all Contributor (CB) teams, powering AI data operations from building high-impact datasets to optimizing contributor onboarding and incentives, and safeguarding data integrity. You will act as an organizational architect and tech lead, embedding into high-priority projects to guarantee execution, unblock teams, and ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.

$252k - $315k