Join Veeva as a Senior Software Engineer to be a founding member of a new AI-first product team. The role focuses on production-level Python development (FastAPI, Pydantic), building scalable enterprise SaaS cloud applications, owning features end-to-end, mentoring engineers, and applying AI to engineering and product problems. Applicants must have the unrestricted right to work in the United States.

Docker seeks a Staff Software Engineer for the Cloud Sandboxes team to build scalable, reliable, and secure infrastructure powering agentic cloud workloads. The role focuses on microVM orchestration, workload scheduling, control plane and API development, observability, CI/CD, and operating multi-tenant distributed systems; it requires 10+ years of backend/cloud engineering experience and strong proficiency in Go and/or Java.

Lead design and implementation of shared infrastructure, deployment patterns, observability, integrations, and platform services for an internal AI agent platform; collaborate with cross-functional teams to move agents to production. Requires 5+ years of hands-on engineering experience. Salary range listed: $148,000–$203,500 USD per year.

Remote Staff AI Engineer role focused on designing, prototyping, and shipping production AI features for Grafana Cloud observability. Responsibilities include building LLM- and agent-powered workflows for incident detection and triage, integrating AI with alerting/runbooks/developer workflows, rapid experimentation, and collaborating with cross-functional teams. Requires experience with LLMs/GenAI, prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tooling.

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.

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.

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.

The Senior AI Security Engineer secures LLM-enabled applications, RAG systems, inference pipelines, and agentic workflows by performing threat modeling, security reviews, vulnerability analysis, and AI-focused red team testing. The role builds security automation and evaluation harnesses, drives mitigations with engineering teams, and serves as an AI security incident SME. Requires 5+ years relevant experience and proficiency with Python, modern AI stacks, and at least one major cloud platform.

Join Granicus as a senior software engineer operating in an AI-native development lifecycle: decompose work for coding agents, author evaluation suites, and perform rigorous, high-throughput reviews of agent-generated pull requests. The role requires strong engineering fundamentals, experience with eval-driven development and agent-directed delivery, and ownership of correctness, performance, security, and WCAG accessibility within a regulated (FedRAMP/NIST/SOC 2) context.

CrowdStrike seeks a Senior AI Growth Engineer to own the technical foundation of an agentic AI platform for marketing. Responsibilities include building integrations (Marketo, Workfront, CMS), orchestration for multi-agent pipelines, production UIs and tooling, CI/CD and reliability, analytics and evaluation frameworks, and custom AI agents. Requires 8+ years full‑stack experience with Python and modern JS/TS, production experience with LLM APIs and agentic systems, frontend experience (React), systems design, and integration experience. US base salary range: $160,000–$250,000/year.

CrowdStrike seeks an AI Research Scientist to build next-generation agentic systems for cybersecurity. Responsibilities include post-training of LLMs (supervised fine-tuning, RLHF/RLAIF, policy optimization), designing agent workflows (planning, tool calling, retrieval/memory), creating rigorous evals and benchmarks, optimizing inference, and collaborating with engineering teams to move prototypes toward production. Requires deep ML/LLM expertise, reinforcement-learning experience, PyTorch and GPU proficiency, and strong research engineering skills.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Senior engineering lead role responsible for architecting and building production-grade agentic AI solutions and LLM-powered workflows across GTM technology (Salesforce, Slack, third‑party apps). Requires 8+ years software engineering experience (3+ years in lead/principal role), strong Python and TypeScript skills, experience with agentic AI frameworks, RAG/semantic search, vector DBs, Salesforce development (Apex/LWC), cloud AI platforms (AWS Bedrock, Vertex AI), and CI/CD/DevOps practices. Salary range for U.S. candidates: $125,000–$180,000/year.

iFIT is hiring a Junior AI Engineer to design, build, and maintain AI-powered tools, automations, integrations, dashboards, and lightweight applications for the Commercial organization. The role supports Salesforce and other business systems, involves experimenting with LLMs and AI agents, and prefers 1–3 years of experience. Posted pay range: $60,000–$70,000 USD per year.

Seeking a Senior Scientist to develop LLM-based synthetic data generation (text, code, structured, multimodal) and associated SDKs within the NVIDIA NeMo ecosystem; responsibilities include building scalable data pipelines, automated quality evaluation, contributing open-source code, collaborating with model teams, and publishing research. Requires PhD or equivalent and 3+ years research experience in synthetic data/generative or multimodal ML.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.