Remote LLM Engineer Jobs

We are seeking a motivated engineer to enhance the integration of APIs within the CUDA-X math library software stack for modern LLM and agentic AI workflows. Organizations worldwide leverage GPU-powered data centers for AI, data analytics, and scientific simulations, driving progress in fields like LLMs, computer vision, and autonomous vehicles. Our team develops the essential GPU-accelerated libraries and SDKs for these technologies. In this role, you will ensure that human engineers and AI agents can easily build high-performance applications using CUDA-X libraries, focusing on developer experience and effective API utilization.

$221k - $507k

NVIDIA is seeking a Senior Software Engineer to focus on Deep Learning Inference. You will be instrumental in designing, building, and optimizing GPU-accelerated software for advanced AI applications. This role involves developing and enhancing high-performance deep learning frameworks like SGLang and vLLM, crucial for efficient large-scale model serving and inference. You will contribute to the smooth deployment and serving of cutting-edge language models and work with the deep learning community to implement and release the latest algorithms.

€78k - €135k

We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models. You will collaborate across the organization to bring the latest flagship models from our community and partners to life. This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution. Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference. You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape!

$375k - $650k

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

Deepgram

Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.

$216k - $338k

Supabase

Supabase is seeking a Python SDK Engineer to join their SDK team. This role focuses on enhancing how developers interact with Supabase through Python, ensuring the SDK is a library that Python developers genuinely enjoy using. You will work on building and evolving the Python SDK across various Supabase services, including database, auth, storage, realtime, and functions, with both synchronous and asynchronous APIs. The position involves proactive development, identifying and building missing features, and contributing to the open-source community. A key aspect of this role is owning the typing experience for the SDK, ensuring it's fully typed and checker-friendly, and maintaining compatibility across diverse Python environments and frameworks. You will also be responsible for tracking platform changes and reflecting them in the SDK, designing public APIs, and making the SDK legible to AI coding agents.

Salary not listed

Cohere

Cohere is seeking a Member of Technical Staff to join our Post-Training Data Infrastructure team. In this role, you will be responsible for building and managing the critical data pipelines that generate post-training data for our large language models (LLMs). This includes data for SFT, preference, and RL post-training, as well as synthetic and human-annotated data. You will collaborate closely with researchers and annotation teams to ensure rapid iteration on data, enabling them to keep pace with model development. Your work will be instrumental in advancing the capabilities of our foundation AI models and delivering value to enterprise customers.

CA$295k - CA$535k

Cohere

Cohere is seeking a Senior Full-Stack Engineer to join the Cohere Dashboard team. This role is crucial for shaping the user experience of Cohere's platform, which serves as the central hub for users to access models, manage API keys, and explore documentation. You will collaborate with a talented team to build a delightful, intuitive, and unified experience across all dashboard features, contributing to both front-end and back-end development. This is an opportunity to work on mission-critical systems and contribute to the future of large language models.

CA$230k - CA$295k

Code Metal

Code Metal is seeking a Lead Backend Engineer to join their Modeling & Simulation team. This role will lead the backend and data engineering team responsible for building the Python services, APIs, and data systems that power a next-generation wargaming and decision-support platform. The ideal candidate will balance people leadership with hands-on technical ownership, providing Principal-level backend engineering judgment, guiding architecture, and tackling complex technical challenges while growing a team of engineers. This platform is crucial for enabling government users to make critical multi-billion-dollar force-design decisions.

$253k - $294k

Monte Carlo is seeking a Senior Fullstack Engineer to join their team and build the core of their agent trust platform. This role involves developing backend services, distributed systems, and agentic workflows that enable enterprises to monitor and trust AI in production. You will take ownership of problems from initial concept through prototyping, architecture, development, testing, and deployment, ensuring reliability, observability, and scalability as the platform grows. The position is primarily backend-focused but includes shipping React surfaces when necessary, and involves building and maintaining data pipelines for analytics, ML, and customer-facing features. You will collaborate with product, ML, and infrastructure teams to deliver customer value.

$180k - $230k

The AI Platform team is building the shared runtime for all AI agents at MeridianLink, encompassing model gateway, orchestration, memory, and observability. This role focuses on the trust and explainability layer of this runtime, developing tracing, evaluation, and explanation capabilities. These features will enable engineers to understand multi-agent workflows and allow product teams to provide customers with appropriate explanations to build trust in agent outputs. This is a hands-on engineering role where you will write code for tracing agent actions, adopt and extend open-source frameworks for explainability and observability, and build primitives for surfacing explanations to end-users. You will work closely with a Staff engineer team lead and architects who will support your growth in this area.

$104k - $178k