Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

Hands-on technical product manager role building AI Agent applications for drug labeling: design and prototype AI features, data flow, orchestration, prompts, and model integration. Requires coding in Python and hands-on experience with AI frameworks/APIs, strong AI/ML and LLM knowledge, and collaboration with engineering and UX. Base salary range listed: $75,000–$165,000.

Join GitHub's Copilot AI Models team to design, implement, and operate highly available backend services and APIs that power Copilot. Responsibilities include system design, reliability and performance improvements, CI/CD automation, on-call participation, and mentoring. Qualifications span multi-year software engineering experience and proficiency in languages such as Go, Python, Java, C/C++, C#, JavaScript, Ruby, or Rust.

Help Scout is hiring a Mid/Senior Product Engineer on the Intelligence team to design and ship end-to-end, customer-facing intelligence features with a front-end focus (strong JavaScript/TypeScript and React). The role expects full‑stack capability, experience with AI/LLM tooling, production readiness (monitoring, reliability, instrumentation), and frequent use of AI development tools. The position is fully remote and Help Scout does not sponsor visas.

The Sr. Software Engineer develops, tests, deploys, and maintains production software, contributes to architecture and tooling, and mentors junior engineers. The role emphasizes AI workflow development, front-end technologies (HTML/CSS/JavaScript/TypeScript), Java and database technologies (relational and NoSQL), cloud computing, CI/CD, security, testing, debugging and production monitoring. Minimum required experience is 3 years; a preferred experience mention is 5+ years in relevant work.

Join Precisely as an Associate Software Engineer on the Master Data Management product team to develop AI-first full-stack applications. Responsibilities include building backend services in Java, frontend components with React/Angular, designing REST APIs, writing unit and integration tests, using AI tools to accelerate development, and collaborating in Agile teams. Required: Bachelor's degree and 1–2 years software development experience.

Help Scout seeks a staff-level product engineer to ship customer-facing AI features end-to-end: LLM-backed flows, retrieval/embeddings (RAG), agentic tool-calling, and a fast, accessible UI. Role emphasizes strong JavaScript/TypeScript and React front-end craft, full-stack ownership (Kotlin/Java/PHP backend stack and data tools listed), AI quality practices (evaluation, guardrails, monitoring), and close customer interaction. Position is fully remote; Help Scout does not sponsor visas.

CrowdStrike seeks a Senior AI Infrastructure Engineer to lead design and implementation of large-scale LLM infrastructure, including GPU cluster provisioning, model serving, lifecycle management, and data pipelines (RAG/agentic systems). The role requires hands-on experience with MLOps, distributed training and inference frameworks, containerization/orchestration, IaC, and cloud platforms, and includes technical leadership and cross-functional collaboration to productionize AI systems.

Hands-on role bridging hardware bring-up, sensor integration, and deployment of robotics models on NVIDIA embedded platforms. Requires 5+ years in embedded systems (experience with Jetson), strong ROS 2 fluency, sensor pipeline integration (cameras, LiDAR, IMU), and expertise in AI model deployment/optimization (TensorRT, GPU profiling) for edge robotics applications.

NVIDIA seeks a Senior AI Compute Engineer to join the Infrastructure Specialists team to plan, deploy, manage, validate and hand over large-scale AI Compute/HPC systems. Role requires 8+ years of deployment/support experience, Linux system administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and customer-facing skills. Up to 20% travel within the United States. Salary ranges provided for levels 4 and 5.

Avalara seeks a senior individual contributor to lead design and engineering of scalable AI-powered automation solutions (n8n as core orchestration), build API-first and event-driven integrations, establish CI/CD and governance practices, implement observability for AI and traditional workflows, and mentor engineers. Requires 10+ years of experience in enterprise automation, integration or platform architecture and hands-on experience with n8n or Boomi and cloud AI services.

Lead data-science initiatives using Doximity's datasets to build and evaluate AI products for clinicians. Responsibilities include end-to-end data projects (ingestion through analysis and recommendations), informing data team strategy, collaborating with product managers and engineers, and applying modern ML techniques (deep learning, reinforcement learning, LLM fine-tuning). Requires advanced SQL and Python, experience with PyTorch or TensorFlow, distributed data processing, and at least 5 years' professional experience. Visa sponsorship is not available.

Manage AI information security operations and engineering with emphasis on securing LLMs and generative AI. Responsibilities include incident response, playbook development, tooling maintenance, AI governance, threat analysis, and post-incident review. Requires 5+ years in information security operations and 2+ years in AI/ML security. Employer cannot sponsor visas.

Capital One seeks a senior-level AI engineer to design, develop, test, deploy, and support foundation-model training and large language model inference systems. The role emphasizes LLM optimization (scalability, cost, latency, throughput), similarity search/VectorDBs, guardrails, evaluation, and observability, and requires substantial experience (8+ years minimum) with ML engineering, cloud platforms, and languages such as Python.

The Home Depot is hiring a Senior Software Engineer to independently develop, refactor, and maintain production applications (payroll/HCM and AI-focused). Responsibilities include full software lifecycle work (development, testing, CI/CD, deployment), integrations/APIs, security/authentication, performance tuning, monitoring, and mentoring junior engineers. Minimum 3 years' experience; preferred experience with Workday Payroll, AI/automation solutions, Java and front-end technologies.

CrowdStrike is hiring a Senior AI Agent Developer to design, develop, and deploy production AI agents that improve enterprise workflows. The role emphasizes hands-on Python development, LLM/agent experience, prototyping, evaluation and optimization, and attention to AI safety and governance. The posting lists a US base salary range of $140,000–$215,000 per year.

Hands-on role responsible for the full data science lifecycle: framing business problems with stakeholders, building and validating models, and working with ML engineering through deployment and monitoring. Requires 5+ years in applied data science with experience in paid/performance marketing, AWS-based ML deployments, Python, SQL, and techniques such as bandits, recommender/ranking systems, and LTV modeling. Primary metric: ROAS.

Work includes designing and training novel deep learning models on large-scale GPU clusters, prototyping architectures and algorithms for tabular, relational, and graph-structured enterprise data, applying transformer and advanced retrieval approaches, and partnering with engineering and product teams to ship production-ready features. Required: Master's or PhD in a quantitative field, production or top-tier research experience with transformers and retrieval, strong Python and automatic-differentiation framework skills (PyTorch, JAX, TensorFlow), and experience with large-scale distributed training (DeepSpeed, TorchTitan). Nice-to-have: ML pipelines (Kubeflow, Airflow, MLflow) and PySpark for large data pipelines.

The role owns design, delivery, and operation of internal AI infrastructure and products for GTM (Model Context Protocol servers, multi-step agents, internal apps). Requires 5+ years' experience, expert TypeScript/Node.js, strong Python, AWS deployment experience (Bedrock, Lambda, ECS, API Gateway), LLM API integration, REST/OAuth/OIDC knowledge, and familiarity with CI/CD and IaC; GCP, MCP, and CRM integration experience are strongly preferred.

Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.