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.

Salary not listed

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

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

You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

$150k - $450k

The Application Modernization Platform (AMP) team is focused on transforming legacy applications into modern, microservices-based architectures on MongoDB. This involves building a dedicated platform and infrastructure to accelerate this transition, enabling a "build once, run anywhere" model for an AI-powered modernization suite. The team will architect the platform foundation and infrastructure to ensure seamless operation across diverse client environments, regardless of security or network constraints. This high-visibility initiative offers the opportunity to solve unique distributed systems puzzles and shape the future of how global enterprises leverage data and AI.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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.

Salary not listed

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

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

Our team develops GPU-accelerated software for deep learning inference, focusing on improving the performance, memory efficiency, scalability, and deployment cost of large language models on NVIDIA GPUs. We work across model architectures, algorithms, numerical representations, inference systems, and GPU architectures to achieve these goals. This role will contribute to inference frameworks like TensorRT-LLM, helping to bring state-of-the-art models to production efficiently. We are seeking passionate interns interested in large language model inference, low-precision computing, GPU performance optimization, and hardware-software co-design.

Salary not listed

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

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

Scale AI

Scale's LLM post-training platform team builds an internal distributed framework for large language model training, powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. This platform also serves as the underlying training framework for the data quality evaluation pipeline. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works, enabling next generation LLM training, inference, and data curation.

$290k - $363k

Scale AI

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs, as well as data quality evaluation. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development, enabling the next generation of LLM training, inference, and data curation.

$190k - $237k

Scale AI

As a Senior Software Engineer, AI Ops, you will be responsible for the long-term technical health, performance, and stability of AI solutions deployed for strategic public sector partners. You will act as the technical steward, ensuring operational excellence by bridging software engineering, MLOps, and client governance. This includes managing service level agreements (SLAs), tracking model drift, and executing maintenance protocols to protect system integrity and operational margins.

Salary not listed

Lila Sciences is seeking a Senior / Staff Machine Learning Engineer to join their Applied AI organization. This role focuses on adapting and improving AI models for customer-specific scientific needs, bridging the gap between advanced model capabilities and real-world applications. You will be instrumental in transforming frontier AI models into reliable, evaluable workflows for customer contexts. The Applied AI team operates at the nexus of AI research, model engineering, and product deployment, collaborating with researchers and software engineers to integrate and refine Lila's models within product workflows. This position is ideal for individuals who want to specialize in model adaptation and evaluation, take ownership of complex technical challenges, and grow their scope within the company.

$180k - $298k

Supabase

Supabase is seeking a Software Engineer to join their Turso core database team. This role focuses on advancing the future of agentic databases, specifically by contributing to the Turso Open Source database and its Cloud offering. You will work on enhancing Postgres compatibility, ensuring system reliability, maintaining cloud operations, and improving scalability to support a massive increase in database usage. The ideal candidate thrives in a fast-paced, asynchronous environment and is passionate about building scalable database technologies for a world with millions of daily agent-created databases.

Salary not listed

Toast

Toast is seeking a Staff Software Engineer to lead the technical vision and architecture for its new Intelligence Platform in Dublin. This platform will serve as a governed data layer, bringing restaurant intelligence to various stakeholders including prospects, operators, Toast IQ, and AI agents. The role involves hands-on development, making key design decisions for data processing, privacy, and serving, and mentoring other engineers. The goal is to evolve the platform from initial aggregated data to real-time access for AI agents, ensuring new data products are shipped quickly and safely.

Salary not listed

SambaNova

As a new grad AI Performance Engineer, you will be responsible for bringing up new open-source foundation models on the SambaNova dataflow platform and optimizing their performance. This involves profiling model execution, identifying performance bottlenecks across compiler, runtime, and hardware layers, and applying optimizations such as quantization, kernel fusion, and improved scheduling. You will collaborate with machine learning, compiler, runtime, and hardware teams to integrate performance improvements into SambaNova products and benchmark throughput and latency to track changes across releases.

$131k - $197k

voize

voize is building AI companions to seamlessly take over digital workflows for frontline workers, amplifying their impact rather than replacing them. With significant Series A funding and a growing user base, the company is seeking a Senior Fullstack Engineer to co-own its in-house ML App. This platform is crucial for annotation, data exploration, ML training orchestration, model evaluation, and managing sensitive data flows, aiming to make external vendor solutions unnecessary.

Salary not listed