Lead development of open-source libraries and tools for agentic applications: benchmark and optimize agent performance, collaborate on GPU-optimized training/inference and data pipelines, and build cross-language, high-quality APIs and agent harnesses. Requires 8+ years experience in languages such as Rust, Python, Go, or Node.js and hands-on experience with agent architectures, LLM applications, async systems, and performance debugging.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

Lead development of core autonomous-driving functionality including fusion of perception DNNs and map signals to generate real-time 3D world models used by planning. Work with camera, lidar, and radar inputs to enable HD mapless driving, occupancy grids, occlusion handling, localization and state estimation. Requires 8+ years experience (>=2 years in AV/robotics), strong software development on embedded/automotive platforms, and leadership/mentoring experience.

Join NVIDIA to architect and implement high-performance inference stacks for large models: optimize GPU kernels and compilers, extend inference frameworks (vLLM), define benchmarking (MLPerf), and scale multi-GPU/multi-node deployments. Requires strong Python and C/C++ skills, GPU programming (CUDA, NCCL), experience with containers and orchestration, and 5+–7+ years of relevant experience depending on degree.

NVIDIA seeks a Senior Deep Learning Compiler Engineer to analyze neural networks and develop compiler optimization algorithms for GPU inference. The role requires 3+ years of relevant experience, strong C/C++ and Python skills, and experience with technologies such as CUDA/OpenCL, MLIR/XLA/TVM/LLVM, and deep learning frameworks like PyTorch. The posting lists a base salary range of 152,000–241,500 USD per year.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

ClickUp seeks a Senior AI Engineer to lead development of user-facing AI features, integrating and orchestrating multiple LLMs, ensuring production reliability, scalability, observability, and addressing AI privacy/security/compliance. Requires 5+ years' backend and/or full-stack engineering experience, strong experience with LLMs, Python/JavaScript/TypeScript, Postgres/MySQL, Elasticsearch, and mentoring/cross-functional collaboration.

Seeking a Senior AI Engineer to design and implement scalable AI platform services (model serving, orchestration, lifecycle management), integrate multiple LLM providers, build backend APIs, and apply LLMs to deliver user-facing features. Requires experience with cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), MLOps, distributed systems, programming in Python/Go/TypeScript, and addressing AI privacy and security.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.

Sardine is hiring a Forward Deployed AI Engineer (remote, US or Canada) to embed with clients, translate operational challenges into technical architectures, and architect, train, fine-tune, evaluate, and deploy AI agents and production ML pipelines focused on fraud prevention and AML automation. Requires 5+ years in data science or applied AI and proficiency in Python and SQL.

Develop and optimize GPU-accelerated AI inference serving software, drive convergence of Triton and Dynamo stacks, and contribute to open source. Requires MS/PhD or equivalent experience, 5+ years on deep learning software, strong Rust and C++ skills, familiarity with Python, and experience with high-scale distributed and ML systems.

Work on architecting and building reinforcement-learning post-training infrastructure that scales from single-GPU experimentation to production across thousands of nodes. Responsibilities include optimizing training-inference-rollout loops on GPUs/CPUs/LPUs, improving RL frameworks (e.g., VeRL, Miles, TorchTitan), ensuring fault tolerance and elastic scaling, and collaborating with researchers and hardware/software teams. Requires MS/PhD or equivalent experience and 5+ years in distributed systems, HPC, deep learning infrastructure, or ML systems engineering.

Senior Staff ML Engineer responsible for defining and building Reddit's unified user representation layer—including large-scale embeddings, interest modeling, and LLM-enhanced profiles—ensuring storage, feature pipelines, low-latency serving, and cross-team adoption across Feeds, Search, Notifications, and Ads. Role requires 10+ years building production ML systems and expertise in user modeling, representation learning, recommender systems, and applying LLMs/foundation models.

Lead and grow a team of data scientists to develop forecasting (including hierarchical time series) and ML-based analytics, own data infrastructure and metrics that inform financial decisions across Stripe. Role requires ~10 years of data science experience with at least 3 years of direct management, and involves cross-functional collaboration with finance, product, engineering, and other stakeholders.

Responsible for designing and delivering production-grade agentic AI systems (multi-agent coordination, RAG pipelines, GPU-accelerated inference), building PoCs and reference architectures, collaborating with partners and internal teams, and enabling partner engineering through workshops and architecture reviews. Requires 8+ years in deep learning/ML/distributed AI, strong programming in Python and C/C++, and experience with PyTorch or TensorFlow.

Lead product efforts to build AI Agent applications (LLMs, RAG, prompt engineering) that automate the content lifecycle and medical information workflows for Veeva PromoMats and Vault Medical. Requires 5+ years enterprise product/engineering/consulting experience, 2+ years hands-on AI/ML experience, strong Python and AI framework skills, and domain familiarity with MLR/MedInfo workflows. Base salary range: CAD 130,000–180,000.

Senior (Staff) backend/platform engineering role to design and build core services (APIs, workflow orchestration, tool integration) for an agentic platform that scales generative AI capabilities across the enterprise. Role emphasizes reliable, secure, observable services, third-party integration, and collaboration with product, data, platform, and security teams.

Lead the architecture and design of Tide's agentic platform, building shared services (context APIs, tool layers, policy controls, auditability) and partnering across product, data, security and engineering. Drive reliability, safety, cost-optimization for LLM usage, integrate external components where appropriate, and implement automated evaluation pipelines and observability for agent reasoning.