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.

Grafana Labs seeks a Senior Engineer (AI & Automation) to own AI agent infrastructure and an automation platform for Marketing Operations. Responsibilities include designing and operating multi-agent systems, LLM integrations, RAG data flows, serverless/containerized backend services on GCP, and workflow automation. Requires 8+ years software engineering and 2+ years applying LLMs in production. Base salary range (U.S.) USD 154,445–185,334.

Granicus is hiring a Principal Engineer, AI Security to lead design and implementation of scalable AI security controls and guardrails, modernize the SDLC for AI, advance AI-enabled cyber defense, prototype and build integrations, and advise across security and engineering. Requires 10+ years in security-related engineering and deep familiarity with LLMs, agents, adversarial AI, cloud-native architectures, CI/CD, and security automation. Remote-first role with a US-based salary range of USD 150,600–187,400/year.

Hands-on IC role to design, train, evaluate, and ship 3D reconstruction systems (gaussian splats, foundation 3D models, SfM, MVS, monocular depth, mesh reconstruction) into DroneDeploy’s production photogrammetry pipeline. Requires 5+ years professional experience in 3D computer vision/3D ML (or PhD), strong C++, fluency with ML frameworks (PyTorch/TensorFlow), cloud training/inference (AWS/GCP/Azure), containerization (Docker, Kubernetes), and experience running/monitoring many ML experiments. Remote-first (USA) with preference for Pacific Time overlap; occasional travel (~2–3x/year).

NVIDIA seeks a Senior Research Scientist/Engineer to develop and scale post-training technologies for Nemotron foundation models. Responsibilities include synthetic data and agentic RL research, data and training infrastructure, vendor data acquisition, and large-scale model post-training through deployment. Requires Master/PhD or equivalent and 5+ years' experience in mid-/post-training, reinforcement learning, agentic systems, and hands-on data curation and model training. Salary range provided (USD 192,000–356,500/year across levels).

66degrees seeks an AI Security Architect (6-month contract) to establish AI security guardrails, governance frameworks, data protection controls, and model-security standards. The role partners with AI deployment, compliance, and legal teams to mitigate risks (e.g., prompt injection, data poisoning, adversarial attacks), define policies and training, evaluate AI security tools, and report AI security posture to leadership. Requires 8+ years in information security with experience in security architecture and AI/ML security.

Build end-to-end AI-powered features (LLM-backed flows, RAG/retrieval, embeddings, agentic tool-calling) with a frontend center of gravity (TypeScript/React) while owning backend and production concerns (monitoring, reliability, performance). Work is fully remote; hiring guidance states no visa sponsorship and preference for candidates authorized to work from their home country.

Join the Office of the CTO to operate and scale an AI-native software development lifecycle where autonomous agents perform initial implementation. Responsibilities include decomposing work for agents, dispatching and integrating agent output, reviewing agent-generated PRs at volume, authoring evaluation suites, and ensuring correctness, performance, security, and WCAG accessibility in a FedRAMP-authorized environment. Requires strong engineering fundamentals, hands-on experience directing coding agents and rigorous code-review competence.

Lead the Marketing Engineering pillar to architect and implement an AI-native marketing execution platform: build integrations, orchestration for multi-agent pipelines, production UIs and tooling, evaluation/analytics, and CI/CD. Requires 8+ years full‑stack experience with Python and modern JavaScript/TypeScript, production experience with LLMs and AI agents, integration experience (APIs, webhooks, OAuth), and familiarity with cloud/CI/CD (AWS preferred).

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.

Lead architecture and delivery of end-to-end AI-powered systems including agents, RAG pipelines, orchestration layers, and evaluation frameworks. Define contracts, state management, guardrails, and observability standards; productionize experimental AI capabilities into scalable services. Remote-first role based in the USA; requires 5+ years of software engineering experience and 2–3+ years of AI development experience.

Join CrowdStrike’s Core Tech GTM IT Apps team as a Lead AI Engineer to architect and build agentic AI solutions, autonomous agents and LLM-powered integrations across Salesforce, Slack and in‑house platforms. Role requires 8+ years software engineering experience (3+ years in a lead/principal role), strong Python and TypeScript skills, experience with LLM frameworks (e.g., LangChain, LangGraph), RAG/semantic search and vector DBs, CI/CD and cloud platforms (AWS Bedrock, Vertex AI). US base salary range stated as $125,000–$180,000.

Senior GTM AI Deployment Strategist responsible for designing, deploying, scaling and governing LLM-powered agent workflows and integrations across GTM platforms (Salesforce, Slack, Marketo, CPQ, Snowflake). Requires 10+ years enterprise technology experience and 3+ years hands-on AI/LLM solution delivery; familiarity with orchestration frameworks (e.g., LangGraph, LangChain), RAG, vector DBs, observability and AI governance.

Acquia is hiring a Staff AI Engineer to architect and implement stateful, multi-agent workflows (using LangGraph, Temporal, Pydantic) and own AI observability via LangFuse. The role requires 8+ years of software engineering experience (3+ years producing AI agents), deep Python skills, cloud AI deployment experience (AWS/Azure/GCP), and expertise in RAG, vector databases, and prompt/agent management. The position is remote for the United States and includes mentoring and cross-team collaboration responsibilities.

iFIT is hiring a Junior Salesforce AI Engineer (remote, US) to implement and optimize Einstein AI features and Salesforce CPQ—configuring lead/opportunity scoring, Next Best Action, Activity Capture, CPQ pricing and quote templates, building Apex/LWC and Flow automations, maintaining data quality, and supporting deployments within a Gearset DevOps pipeline. Requires 1–2 years hands-on Salesforce development/administration, Salesforce Administrator certification, and authorization to work in the United States.

Lead the technical direction for Reddit's Embeddings Machine Learning Platform, architecting scalable training (multi-GPU/cloud) and low-latency real-time serving for large models. Collaborate with cross-functional teams, drive ML strategy, mentor engineers, and bring advanced deep learning and production ML systems into production.

Lead and grow an AI engineering team (target 6–8 engineers) to design, prototype, and deliver agentic systems, internal copilots, and an internal AI platform (MCP gateway, runtimes, model access, evaluation). Requires hands-on experience with LLMs, agents, LLMOps, observability, cloud-native infrastructure, and prior engineering management experience; role reports to the Sr. Director of AI & Business Technology Engineering and partners with cross-functional leaders.

Chainguard seeks an AI Solutions Engineer to identify high-impact internal workflows, build working prototypes (automation, prompt systems, AI assistants, integrations) using LLM APIs and approved tools, and partner with functional owners and enablement bodies to validate and scale successful solutions. Requires a minimum of 4 years building software or internal tooling and hands-on experience with applied AI tools and integrations.

NVIDIA seeks a Senior Scientist to advance synthetic data generation and privacy-preserving AI within the NeMo ecosystem. Responsibilities include building LLM-based anonymization and synthetic-data methods, optimizing inference (distillation, quantization) for low-latency/high-throughput, maintaining open-source SDKs, driving software engineering practices, and publishing research. Requires PhD or equivalent and 2+ years of applied LLM/NLP research/engineering experience.

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.