Work on the Kibana UI and backend pipelines for Elastic Observability to surface signals, autonomous investigations, and remediation. Responsibilities include building user-facing interfaces, contributing to multi-agent investigative systems, detection and signal generation across telemetry, and evaluation infrastructure and dataset curation. Requires at least 2 years developing applications with TypeScript, React and Node.js and knowledge of LLM-based systems (agent orchestration, tool use, retrieval, context management).

Join Elastic Observability to build Kibana user interfaces and the backend context/detection pipelines for autonomous, agent-driven investigations across logs, metrics, and traces. Responsibilities include user-facing UI work, multi-agent investigation tooling, detection and signal generation, and evaluation infrastructure. Requires at least 2 years developing applications with TypeScript, React and Node.js, knowledge of LLM-based systems (agent orchestration, retrieval, context management), and a related technical degree or equivalent experience. Location: Greece. Typical starting salary range: €42,400–€67,000 EUR per year.

Work on the Kibana UI and backend pipelines for Elastic Observability to make autonomous, agent-driven investigations legible and actionable. Responsibilities include building user-facing interfaces, contributing to multi-agent investigation systems, detection and signal generation, and evaluation infrastructure. Role is based in Spain and requires at least two years of experience with TypeScript, React, and Node.js.

Lead and develop an 8-person engineering team responsible for roadmap and execution of anomaly and signal detection systems that combine distributed systems and ML/LLM. Work closely with product and applied scientists to build and evaluate production ML/LLM systems at scale; the role is based in New York with a hybrid workplace. Reasonably estimated salary range for this role is $192,000–$240,000 USD per year.

CircleCI seeks an Agentic Operator to design, build, and operate agent pipelines, orchestration layers, and automation systems that speed the hypothesis-to-signal cycle for growth experiments. The role requires shipping production multi-agent workflows, integrating tools like Amplitude and HubSpot, instrumenting experiments with clear measurement, and coordinating stakeholders across channels. Listed base pay: $118,500–$171,000 USD per year.

Work on design, training, optimization and productization of ML models for LiDAR/camera perception and multi-sensor fusion (detection, segmentation, tracking). Requires 8+ years industry experience, strong C++ and Python skills, deep learning framework experience (PyTorch/TensorFlow), and experience delivering ML into production for automotive or related robotics platforms.

Capital One seeks a Director of AI Engineering to own the design, development, and operation of the company's generative AI training platform: distributed training/fine-tuning, reinforcement learning workflows, GPU scheduling and utilization, and self-service experimentation environments. The role requires hands-on technical leadership, people management, capacity and cost governance for GPU fleets, and driving enterprise Responsible AI and governance practices.

Work on designing and training large-scale generative, imitation, and reinforcement learning models and building LLM/VLM/VLA systems for deployment in production autonomous vehicles and robotics. Responsibilities include dataset generation/collection, model pre-training and fine-tuning, integrating models with vehicle firmware for safety-critical systems, and collaborating with cross-functional teams to meet performance, safety, and reliability requirements. Required: strong ML and deep learning background, production deployment experience, Python and C++ proficiency; PhD+4 years or MS+6 years of relevant experience noted.

Design, build, and operate agent-to-agent (A2A) architectures and multi-agent orchestration; integrate and optimize LLMs (including prompt engineering and tool calling); implement RAG and vector search grounding; provision scalable cloud infrastructure with IaC (Terraform) and DevOps practices; and apply security, observability, and governance for multi-agent workflows.

NVIDIA seeks a PhD intern to research, design, and implement methods for efficient deep learning across diffusion language models, multimodal generation, and hybrid cloud–edge agentic systems. The role requires pursuing a PhD, strong knowledge of machine learning and deep learning, experience with LLMs/diffusion/multimodal or agentic systems, hands-on large-scale model training including data preparation and model parallelization, and an outstanding research track record (at least one top-tier conference publication). Hourly intern rate is listed as 38 USD–94 USD; applications accepted until at least October 11, 2026.

Principal Forward Deployed Engineer role embedding with major enterprise customers to architect and validate production-grade VKS and VCF topologies, design real-time LLM inferencing and GPU-accelerated clusters, lead large-scale bare-metal-to-Kubernetes migrations, and contribute production operators/CRDs. Requires deep Kubernetes, cloud-native, distributed systems and AI infrastructure experience; hands-on development in Go/Python/Java. Annual base salary range USD 132,200–211,500. Locations listed in the USA.

NVIDIA is seeking a C++ Software Engineer to develop production-quality C++ components, APIs, and integrations for its Genie AI developer-productivity service. The role involves building connections between native C++ tools and retrieval/agentic features, contributing to ingestion pipelines, retrieval systems, benchmarks, and enterprise integrations. Requires 5+ years of modern C++ experience, knowledge of data structures, algorithms, multithreading, testing, and familiarity with Python-based AI services and retrieval/semantic-search technologies.

Role to design and build AI-enabled tools, pipelines, and agentic workflows integrating AI models with DCC applications, APIs, and production infrastructure to support artists and engineers. Requires 8+ years of software engineering experience, strong Python skills, experience with content pipelines and DCC integrations, and 2+ years of technical leadership. Location listed in the US (Santa Clara) with remote option; employer: NVIDIA.

Lead engineering work across agents, automations and skills for the Context Engine: ship TypeScript/Python production code, design telemetry and evaluation strategies, iterate on prompts/skills/memory safely, and partner with data scientists and product to measure and improve agent behavior.

Join the Context Engine team to build the knowledge layer agents use with Elasticsearch. The role involves writing production TypeScript/Python code, designing telemetry and evaluation strategies, iterating on prompts, skills and automations safely in production, and partnering with data scientists, backend engineers and product. Requires 10+ years of software engineering experience and experience shipping AI-driven products on production traffic.

Build state-of-the-art generative pipelines and end-to-end image/video editing capabilities for ad creative, including LLM/VLM fine-tuning and RLHF/RLPF using ad performance signals (CTR/CVR). Lead implementation of safety, brand-preservation, and compliance systems while partnering with Product, Sales, Policy, UX, and Ads ML teams to integrate capabilities into the ad product.

Role focuses on architecture, research, and productionization of radar-focused 3D obstacle perception and multi-sensor fusion (camera, radar, lidar) for L2–L4 autonomous driving. Requires 12+ years of experience in deep learning–based perception or radar signal processing, hands-on expertise with PyTorch, strong software engineering in Python/C++, and experience scaling models to production with GPU/CUDA optimizations.

NVIDIA seeks PhD students for research internships in embodied and agentic AI topics including perception, agentic reasoning, multi-modal and continual learning. Interns will research, design, and implement methods, prototype on state-of-the-art hardware, and collaborate with mentors and product/engineering teams. Required: current PhD enrollment, strong AI and computer vision/LLM knowledge, programming in Python or C++, and familiarity with frameworks like PyTorch.

The role develops, tests, and maintains core materials-aware ML functionality (Python/Scala) for Citrine’s platform, collaborating across product and research teams. Responsibilities include prototyping new ML models, improving interpretability and inverse design, writing production-quality code, and publishing research. Salary range listed: $182,000–$210,000 USD per year for full-time US-based employees.

CrowdStrike seeks a VP-level AI Architect to establish a consistent AI- and agentic-first architecture across business units and products, design and build full-stack AI systems, connect models to runtimes and execution environments, and embed security, governance, and observability into production systems. Requires 10+ years of experience in software/systems/AI architecture and a record of delivering production AI systems. Role is remote for U.S. candidates; base salary range listed as $350,000–$375,000 per year.