Remote (Canada time zones) Staff AI Engineer role at Grafana Labs focused on designing, prototyping, and shipping AI/ML features (LLMs, prompt engineering, agents) for observability products. Requires production software delivery experience, familiarity with cloud-native environments and observability tools. Reported Canadian base salary range: CAD 186,368–230,000.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and ship AI-driven observability features (LLM/agent-powered workflows) for incident detection and response. The role is 100% remote for applicants in USA time zones and expects experience delivering production software, working with LLMs/prompt engineering, and exposure to cloud-native environments (AWS/GCP/Azure). Base salary range (US) listed: USD 127,651–203,867 per year.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and scale AI/LLM-powered features for observability and incident response. Role emphasizes production software delivery, rapid experimentation, integration with observability tooling, and cross-functional collaboration. Position is remote and targets applicants in Canada time zones; listed Canadian base salary range is CAD 129,392–217,128 per year.

NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

The Home Depot is hiring a Senior Software Engineer for Applied AI Acceleration to design, build, and scale enterprise-grade multi-agent AI systems and orchestration layers for marketing operations. Responsibilities include industrializing AI use cases, implementing model governance and observability, building RAG/vector DB solutions, integrating AI agents with MarTech/data systems, and mentoring engineers. Minimum 3 years' relevant experience. Travel: none. Posted pay range (for listed US locales) $80,000–$180,000 per year.

Design and ship customer-facing AI experiences end-to-end (React UI through APIs and data contracts). Build BI-quality, data-dense interfaces for agentic analysis, FP&A, and month-end close; own complex client-side state and rendering; partner on API and backend design; use AI coding models and agentic development workflows.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

Lead the vision, roadmap, and operating model for Maropost's Da Vinci AI platform; identify and prioritize AI opportunities across clouds and products; partner with Design, Engineering, Data Science and Architecture to deliver scalable AI solutions. Requires 5+ years of product management experience in SaaS/AI and hands-on experience with LLMs, RAG architectures, embeddings, vector databases, agent frameworks and AI platform providers (e.g., OpenAI, Anthropic, Google Vertex AI, Azure AI, AWS Bedrock).

Individual Contributor Staff Data Scientist to design and deploy predictive ML models for fraud and risk, address highly imbalanced datasets and data/concept drift, build production GenAI/Agentic AI workflows, collaborate with engineers and product teams, and act as the team SME. Requires 10+ years' experience in data science/ML and strong applied skills in classical ML, production ML engineering, Python/SQL, and cloud (AWS or GCP).

Lead technical design and deployment of AI/ML solutions for NVIDIA GeForce NOW, including real-time diagnostics, LLM chatbot, forecasting, constraint-optimized capacity allocation, anomaly detection, retention modeling and large-scale production analytics. Requires extensive software and data science experience and hands-on experience with tools such as Python, Spark, Databricks, MLflow, Kubernetes and related MLOps technologies.

Coinbase is hiring an IC4 Machine Learning Engineer (remote - India) to build and improve an orchestration layer coordinating vendor and internal LLMs and human participants. The role requires 2+ years of professional ML/software engineering experience, strong Python skills, hands-on experience with LLMs/deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Responsibilities include designing and shipping production-grade ML services, system design, and ensuring security and compliance.

Hands-on Forward Deployed Engineer role focused on mapping and redesigning creative workflows and implementing AI-powered pipelines integrated with DAMs, CMSs, marketing stacks and project tools. Requires 5–10 years in creative technology, content operations, production engineering, marketing technology or applied AI, and experience delivering production-ready solutions and proofs of concept.

Truelogic seeks a Forward Deployed Engineer to embed with client teams to map end-to-end creative workflows, redesign processes, and build production-ready AI-powered pipelines integrated with DAMs, CMS, marketing stacks, and project tools. Requires 5–10 years in creative technology, content operations, production engineering, marketing technology, automation, or applied AI, hands-on experience deploying creative AI tools, and familiarity with Adobe and related creative ecosystems. Role is remote and focused on delivery, governance, adoption, and measurable business outcomes.

Lead and implement vector search features and enhancements in Elasticsearch (including work related to Lucene and vector similarity algorithms such as HNSW and IVF). Contribute code, fix bugs, design algorithms and data structures, collaborate with a globally distributed engineering team and the open-source community. Role is Java-heavy and focused on search relevance and performance. Reported typical starting salary range: €80,400–€127,200 EUR per year.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Mozilla is hiring a Senior Machine Learning Engineer to conceptualize, prototype, fine-tune, evaluate, and deploy LLM-driven user-facing features in Firefox. Responsibilities include applying RAG, summarization, classification, and intent modeling, using modern ML tooling (e.g., Hugging Face, LangChain, W&B, Ray), and collaborating with product and engineering teams with attention to privacy, latency, and usability. US salary ranges listed: $139,000–$218,000 USD per year depending on location tier.

Own end-to-end development of multi-agent AI systems, LLM integrations, and backend services connecting models to internal and third-party data (e.g., BigQuery). Responsibilities include building orchestration, observability, serverless/containerized services, and self-service automation for GTM teams. Role requires 8+ years software engineering experience, 2+ years applying LLMs in production, and strong proficiency in Python and JavaScript/Node.js.

Grafana Labs seeks a Staff Engineer (AI & Automation) based in Canada (remote, Quebec residents ineligible) to design, build, and operate multi-agent AI systems, LLM integrations, and backend services connecting models to internal and third-party data (BigQuery, CRMs, Slack). Requires 8+ years software engineering experience, 2+ years applying LLMs in production, strong Python and Node.js skills, and experience with GCP serverless/containerized services.

Twilio seeks a Machine Learning Engineer to design, implement, and operate end-to-end ML solutions for Conversation Intelligence. The role involves building data pipelines, training and validating models, deploying inference services at scale, instrumenting telemetry, and participating in on-call rotations. Required: 2+ years relevant experience, proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX), and familiarity with NLP libraries and cloud infrastructure.

Lead ownership of end-to-end evaluation and benchmarking infrastructure and domain-specific post-training (SFT, RLHF, RLAIF, DPO) for foundation models. Responsibilities include designing task-level evals, building comparative benchmark pipelines, synthetic data generation, CI-integrated regression suites, dataset curation, and conducting fine-tuning and ablation studies. Requires strong software engineering skills in Python and experience with PyTorch or JAX and distributed training.