Join ClickUp as a Staff AI Engineer focused on building a backend platform for creating and orchestrating multi-agent systems. Responsibilities include integrating multiple LLMs, using orchestration frameworks (e.g., LangGraph), developing evaluation frameworks, addressing AI privacy challenges, and integrating search technologies.

ClickUp seeks a Senior AI Engineer focused on product-facing AI features: integrating and orchestrating LLMs, building scalable production systems, implementing evaluation frameworks, and addressing AI privacy/security/compliance. Requires 5+ years of backend and/or full-stack experience and proficiency with Python, JavaScript/TypeScript, relational databases (Postgres/MySQL), and Elasticsearch.

Role focuses on architecting and implementing scalable AI platform services (model serving, orchestration, monitoring), integrating multiple LLM providers, building backend APIs, and applying LLMs to deliver user-facing intelligent features. Requires experience with cloud-native technologies, distributed systems, MLOps, and backend engineering.

Join ClickUp's AI Platform team to design, develop, and maintain a platform enabling users to create and manage AI agents and multi-agent workflows. The role focuses on integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing privacy and secure data handling, and integrating search capabilities.

Foundational hire for EXANTE's new Intelligence Core: define targets, engineer features from trading/behavioral data, train and validate predictive models (churn, propensity, CLV), design monitoring and deliver daily client-level scores integrated into CRM workflows. Requires 4+ years building and deploying predictive models, strong Python and SQL skills, experience with tabular/time-series data and communicating results to non-technical stakeholders.

Sardine seeks a Senior Data Scientist (7+ years) to measure, understand, and improve risk strategies for fraud and AML. Responsibilities include prototyping and deploying ML models and graph analytics, conducting EDA and cohort analyses, defining and tracking performance metrics, creating self-serve dashboards (Tableau/Sigma/Metabase), and collaborating with engineering and product teams to scale models into production. Role is remote-first with candidates in UK, Germany, Ireland, Spain, Poland, Bulgaria, and Lithuania eligible.

Acquia seeks a hands-on Staff AI Engineer to architect and implement stateful, multi-agent, production AI workflows (LangGraph, Temporal, Pydantic) and own AI observability via LangFuse. The role requires 8+ years software engineering experience (3+ years producing AI agents), deep Python skills, cloud AI deployment experience (AWS/Azure/GCP), RAG and vector database knowledge, and mentoring contribution within the team. Location: Remote (Canada).

Join NVIDIA's Infrastructure Specialists team to set up and validate multi-GPU/multi-node Linux GPU clusters, run and analyze AI/LLM benchmarks, improve collectives and NCCL usage (AllReduce, AllToAll), build observability and automation (Python, Shell), and collaborate across hardware, software, networking, and product teams to prepare AI factories for customers.

Lead research and engineering engagements in AI for Chemistry and Materials Science, acting as a technical SME for NVIDIA technologies (e.g., ALCHEMI, CUDA-X). Responsibilities include collaboration with academia and industry, mentoring junior staff and students, developing tutorials/demos/workshops, and advancing ML-based methods such as MLIPs and generative models. Requires a PhD or equivalent and at least 5 years’ experience; proficiency in Python and PyTorch.

Sardine is hiring a Forward Deployed AI Engineer to embed with clients (remote, US or Canada) to gather requirements, design technical architectures, and build end-to-end AI solutions. Responsibilities include training and deploying custom AI agents, prompt engineering, fine-tuning, establishing evaluation pipelines and AI risk metrics, and collaborating with product and engineering teams to scale models into production. Requires 5+ years in Data Science or Applied AI and strong Python and SQL skills.

Role focuses on developing and unifying the Triton and Dynamo inference stacks to build a high-performance GPU-accelerated AI inference platform. Requires 5+ years in deep learning software, strong Rust and C++ skills, familiarity with Python, experience with ML and high-scale distributed systems, and open-source engagement.

NVIDIA seeks a Senior Solutions Architect for Generative AI to lead customer technical engagements, develop proofs-of-concept (LLMs, recommenders), and optimize model training/inference on GPUs. Requires a BS/MS/PhD or equivalent, 8+ years as an AI/software engineer, strong coding in Python and/or C++, experience profiling and optimizing GPU performance, and experience with DL frameworks and lower-level GPU libraries (CUDA/CUTLASS/cuDNN/NCCL). The role is remote-friendly, based in the US (Santa Clara referenced), includes occasional on-site customer visits/conferences, and lists base salary ranges (USD 184,000–287,500 for Level 4; USD 224,000–356,500 for Level 5).

Elastic is hiring an AI Engineer to design and implement agentic workflows and autonomous agents grounded with RAG and the Elasticsearch Relevance Engine. The role involves LLM integration and fine-tuning, cloud-based scalable infrastructure (AWS/Azure/GCP), containerization and orchestration (Docker, Kubernetes), Terraform, and ensuring security, reliability, and compliance. Requires 3-5 years relevant experience and at least 1 year working with the Elastic Stack.

Reddit is hiring a Staff Machine Learning Engineer for Ads Content Understanding (ACU). The role combines ~50% technical leadership/mentorship and ~50% hands-on work building and operating content-understanding signals (knowledge graph, taxonomies, opinion mining, product/entity extraction) for Ads. Responsibilities include designing ML systems and pipelines, evaluation/quality monitoring (LM-judge practices), LLM usage and distillation, setting SLOs/alerts/dashboards, and driving operational excellence at scale. Requires 7+ years of relevant experience delivering production ML systems and strong experience with NLP/LMs, PyTorch/TensorFlow, Python, and production-grade engineering.

Join GitHub's Code Scanning organization to build and expand code analysis engines (CodeQL), maintain language support and queries, develop the QL query language and compiler, and work on LLM-integrations and evaluation. Role is remote and lists strong emphasis on static analysis, security, compilers, and machine-learning-for-code expertise.

Work on RL post-training infrastructure that scales from single-GPU experimentation to production across thousands of nodes, focusing on rollout generation, training-inference loops, fault tolerance, and performance tuning. Requires expertise in distributed systems, deep learning infrastructure, PyTorch, Kubernetes, and proficiency in Python and C++.

Senior engineer role owning end-to-end abuse detection and response: design and implement LLM guardrails, build AI-powered classifiers and automated enforcement, integrate/tune security scanners in CI, and analyze abuse patterns using BigQuery/Hex. Requires 8+ years in security engineering/anti-abuse/fraud detection and experience with Python/TypeScript, SQL at scale, ML/LLM classifiers, and familiarity with common attack vectors.

Lead the strategy and build foundational user models and systems—including embeddings, feature pipelines, storage/retrieval, and low-latency serving—partnering with product and infra teams to drive adoption across Feeds, Search, Notifications, and Ads. Requires 10+ years building production ML systems, deep expertise in user modeling and representation learning, and experience applying LLMs/foundation models to improve personalization at scale.

Sayari seeks a Staff Applied Scientist to own the "Judgment Layer": design and implement specialized judge models, scoring pipelines, domain-specific evaluation frameworks, and annotation infrastructure; research MoE routing, ensemble calibration, and evaluation techniques for agentic LLM/Graph RAG systems. Requires 10+ years in ML with deep expertise in neural networks, LLM evaluation, statistics, and production deployment of evaluation services.

Lead a team of ML engineers owning notifications relevance (retrieval + ranking), guide design and deployment of large-scale recommender systems, optimize budgeting and ranking, run experiments/QA, and collaborate with product and cross-functional stakeholders. Requires experience managing engineering teams and building large-scale ML systems.