GitLab is hiring an AI subject matter expert aligned to core DevOps who will work with customers, field teams, and product stakeholders to map AI use cases to software development lifecycle challenges, advise on architectural and delivery tradeoffs, and bring practical, hands-on perspectives on automation, CI/CD, cloud-native environments, and Kubernetes. The role is remote and aligned to EMEA; hiring location listed as United Kingdom.

Join the AgenticAI team to own end-to-end ML lifecycle work—problem scoping, data exploration, pipeline development, model training, deployment, and monitoring. Work spans time-series modeling, forecasting, anomaly detection, generative AI (LLMs, embeddings, orchestration), and building production ML systems that drive industrial AI use cases for manufacturers. Requires 4+ years experience and strong Python and ML framework skills.

Role involves developing deep learning models for ASR, speech synthesis, neural machine translation and NLP; designing large-scale training algorithms; open-sourcing models via NeMo; mentoring interns; and publishing research. Requires PhD (or equivalent), strong Python and PyTorch skills, deep learning expertise, and a strong publications record.

Role responsible for profiling, benchmarking, and optimizing AI workloads (training and inference) across the full stack on DGX Station (GB300 Blackwell GPUs). Requires deep experience with GPU architecture, multi‑GPU scaling, deep learning frameworks (PyTorch/TensorFlow/JAX), CUDA/C++/Python, profiling tools (Nsight, CUPTI), and performance validation for production readiness.

Independent researcher on the Video team responsible for designing, implementing, and evaluating deep learning algorithms for video processing, face recognition, and deepfake detection; building reproducible research packages, collaborating to deploy models to production, and contributing to patents and publications. Requires PhD or equivalent and 3+ years of relevant deep learning experience; strong Python and modern ML framework skills. US base pay range $160,000–$185,000 USD.

Cloudera is hiring a Senior Data Engineer (Costa Rica - remote) to architect and implement real-time, near real-time, and batch data pipelines using AI-orchestrated development (Vibe Coding). The role requires 5+ years of experience, strong Python and SQL skills, proficiency with Spark/Hadoop/Kafka, data modeling (Kimball/Inmon), and experience with AI-assisted coding and GenAI data support. This position is not eligible for immigration sponsorship or relocation.

AE Studio seeks an experienced, high-agency technical generalist to perform ML and AI-alignment research. Candidates should be skilled in Python, PyTorch, and the modern deep learning stack; comfortable building, training, and evaluating models; able to call model APIs; and experienced in designing testable experiments. Role is remote-first (LA office available); compensation for US-based candidates is listed as $180K–$240K/year.

Lead technical execution as a hands-on full-stack TypeScript engineer: build high-performance Node.js APIs, state-machine-driven backend systems, and user-facing web experiences (primary stack SvelteKit; React/Vue acceptable). Architect and deploy agentic LLM features, custom RAG pipelines, and reliability/traceability guardrails while enforcing rigorous testing and code-review standards. Remote role emphasizing strong English communication and daily use of advanced AI engineering tooling.

Lead technical execution as a hands-on full-stack engineer writing production TypeScript across frontend and backend, architecting custom agentic/LLM workflows, RAG pipelines, and state-machine-driven backend logic. Responsible for building AI guardrails, traceability and confidence measures, establishing engineering standards, and shipping end-to-end features in an async remote environment.

Lead engineering and evolution of Precisely AI Studio—marketplace UI, agent execution, and MCP integration. Hands-on full-stack work (Next.js, React, TypeScript, Python/Flask, Express, MongoDB, AWS Bedrock) plus mentorship of a small development team. Partner with product and enterprise customers to design reusable AI assets, translate use cases into agent workflows, and expand integrations across LLM ecosystems (OpenAI, Anthropic Claude). Requires 7+ years' experience and at least 2 years in a tech lead role.

CrowdStrike is hiring a Principal Data Engineer for its Data Science Platform Engineering team to architect, implement, and operate Exabyte-scale data platforms supporting LLMs, RAG, and agentic systems. Role requires 10+ years in data/platform engineering (including 3+ years on AI/ML platforms), hands-on LLM experience (fine-tuning, prompt engineering, deployment), expertise in distributed data processing, cloud platforms, containerization, streaming, and MLOps. Location: remote (Canada and USA listed). U.S. base salary range stated: $195,000–$290,000 USD/year; Canadian range also provided in the posting.

Seeking senior/staff-level engineers to build agentic applications and tooling at the frontier of LLM-powered development. Hands-on work with coding agents and LLM infrastructure, shipping quickly in a high-ambiguity, deadline-driven environment. Core stack: Next.js, Node.js, TypeScript. Hours: 40 minimum, up to 80 per week. RAG and RL experience are nice-to-have.

Hands-on AI Engineer role on GitLab's Enterprise Technology & AI team to diagnose business workflows, design practical AI interventions (LLMs, prompt engineering, RAG, agent patterns), integrate solutions into enterprise systems, and measure outcomes using flow and business metrics. Role is remote (US) and the posted US base salary range is $108,400–$129,600 USD per year.

Join NVIDIA to develop NeMo Evaluator and related NeMo Platform tooling: design Python-first APIs/SDKs and build systems for ingesting, validating, analyzing, and evaluating agent execution data. Requires 5+ years of software engineering experience, strong Python and distributed/cloud-native systems skills, and experience with observability, testing, and performance in production systems.

Seeking a Senior Full-Stack Engineer to design and ship end-to-end web and backend features and AI-powered systems (custom agents, RAG pipelines, state-machine workflows). Role emphasizes TypeScript/Node.js, modern front-end frameworks (SvelteKit/React/Vue), PostgreSQL, cloud (AWS/Azure), API/authentication integration, and use of AI coding tools. 100% remote, LATAM-based candidate base; strong English communication and autonomous remote work experience required.

NVIDIA seeks a Senior Solutions Architect to work with UK academic research groups on Generative AI, AI models, and large-scale AI systems. The role involves identifying research opportunities, championing NVIDIA software platforms (e.g., NeMo, NIMs, Cosmos, CUDA X), supporting grant and institutional partnerships, and mentoring students. Requires a Ph.D., research publications in relevant areas, experience in academic research groups, strong communication skills, and 5+ years hands-on experience in Generative AI research.

Join Chainlink Labs as a Lead AI Solutions Engineer on the People Technology and Analytics team to architect, build, and operationalize AI tools and agentic workflows (including Claude) across the People function. The role focuses on automation of recruiting, onboarding, reporting, performance cycles, and system implementations using Google Cloud (BigQuery, Vertex AI, Cloud Functions), APIs, iPaaS, and scripting (Python/JavaScript). This is a global, remote role with an expectation to overlap some hours with Eastern Standard Time.

Work with the founding team and engineers to design, train, evaluate, and productionize ML models (including language models). Build and maintain ML pipelines, run iterative experiments, optimize model performance (fine-tuning, hyperparameter search), and translate research advances into production-ready systems. Requires 4+ years' industry or research experience, strong Python and PyTorch/TensorFlow skills, and familiarity with MLOps tooling.

Lead architecture and governance for an enterprise AI platform including LLM gateways, model registry, sandbox provisioning, security automation, and MLOps/AgentOps. Architect agentic systems (LangChain/LangGraph/MCP), RAG and vector search, and implement AWS-native solutions (Bedrock, SageMaker, EKS, Lambda, etc.) while defining integrations with Salesforce and establishing security and compliance guardrails.

Technical lead for DRIVE Road Structure, Online Mapping, and Context Fusion, owning design and development of systems that integrate perception and mapping across diverse driving environments. Role requires driving real-time 3D model architecture, advancing mapless driving (BEV), improving scenario understanding (occupancy grids, occlusion reasoning), and collaborating with perception, planning, and platform teams.