SecurityScorecard seeks a Senior AI Engineer to architect and implement agentic workflows, LLM pipelines, and AI-driven features for customer-facing products. The role requires 5+ years of software engineering experience, 2+ years building AI-powered applications in production, proficiency in TypeScript and backend fundamentals, distributed systems experience (AWS preferred), and familiarity with CI/CD, containerization, and production deployment practices. The position is hybrid in Austin; the company does not provide immigration sponsorship for this role.

Join NVIDIA's Partner Network as a Senior Solutions Architect to guide partners in adopting end-to-end AI and HPC solutions using NVIDIA compute, networking, and software stacks. The role requires 12+ years of experience with cluster management and tools such as Docker, Slurm, Kubernetes, and Ansible, plus hands-on experience with networking, storage, and GPU-based workloads.

Webflow is hiring a Senior Staff Machine Learning Scientist (remote; United States and BC/ON Canada) to lead research and development in computer vision, multimodal learning, and generative modeling. Responsibilities include designing and training large-scale vision and multimodal foundation models, translating research into production, and mentoring engineers. Requirements include a BA/BS or equivalent (advanced degree/PhD preferred) and 8+ years of relevant industry or research experience. Proficiency in Python and modern deep learning frameworks (PyTorch, TensorFlow) is required.

Forward-deployed technical role within NVIDIA's Partner Network to plan, deploy, manage and validate AI Compute/HPC systems for customers and partners. Requires 8+ years of deployment/support experience, Linux administration, scripting (Bash/Python/Ansible), schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and travel within the United States (up to 30%). Salary ranges provided for levels 4 and 5.

Hands-on senior role to design, build, and deliver production Gen‑AI systems end-to-end (UI, backend, deployment). Responsibilities include implementing RAG, tool-calling, agent workflows, prompting patterns, evals, and guardrails; configuring CI/CD and environments; and ensuring security, auditability, and PII-aware handling. Strong JavaScript/TypeScript experience and familiarity with React/Next.js, Node.js, Postgres, vector stores, and cloud platforms are required.

Lead technical engagements with advanced AI partners to define, prototype, and productionize generative AI, LLM, agentic, and multimodal systems. Requires 8+ years in AI/ML engineering with expertise in RAG, fine-tuning, GPU-optimized inference, MLOps, observability, and responsible AI; experience with NVIDIA software (Triton, TensorRT, CUDA, NeMo) and enterprise prototyping is emphasized.

Seeking a Senior Full-Stack AI Engineer to own end-to-end delivery of production Gen-AI features (RAG, tool-calling, agents, prompting, evals, guardrails). Requires 6+ years building production front-end and back-end software, strong JavaScript/TypeScript skills, experience with React/Next.js and Node.js, SQL/Postgres, vector stores, cloud (AWS/GCP/Azure/Vercel), and CI/CD. Role involves client-embedded consulting and light DevOps ownership.

The Sr. Distinguished Machine Learning Engineer will define technical strategy and build production-grade, low-latency personalization and recommendation systems, end-to-end ML pipelines, MLOps tooling, and LLM optimization techniques. Role requires extensive experience with distributed computing, cloud platforms (AWS/GCP/Azure), containers and orchestration, ML frameworks (PyTorch/TensorFlow), and leading cross-functional technical initiatives. Capital One may sponsor employment authorization.

SecurityScorecard seeks a Staff AI Engineer with 7+ years of software engineering experience and 3+ years shipping AI-powered features to define architectures for LLM pipelines, agentic systems, retrieval infrastructure, and evaluation frameworks. Must be proficient in TypeScript, experienced with distributed systems at scale, familiar with AI-native development tools (Cursor, Claude Code or equivalent), and comfortable with cloud infrastructure (AWS). This position is remote within the US and does not provide immigration sponsorship.

Lead end-to-end design and delivery of major AI product initiatives, define AI system architecture (LLM pipelines, agentic workflows, retrieval, evaluation), set engineering standards, and elevate cross-team practices. Requires 7+ years software engineering experience, 3+ years building AI-powered production features, proficiency in TypeScript, backend/distributed systems experience, familiarity with AI-native workflows (Cursor, Claude Code or equivalent), and cloud infrastructure (AWS). Location: Hybrid (NYC Metro). No immigration sponsorship provided.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship customer-facing AI-powered features. The role focuses on LLM integration, agentic workflows, distributed systems, and production reliability using TypeScript, Go, AWS, containerization, and CI/CD. Requires 5+ years software engineering experience and 2+ years building AI-powered production applications. Position is hybrid in the NYC metro area and does not provide immigration sponsorship.

Hands-on Senior AI Engineer role building customer-facing AI features at the intersection of LLMs, distributed systems, and security. Responsibilities include architecting agentic workflows and LLM pipelines, integrating foundation models with attention to latency/cost/quality, owning projects end-to-end (monitoring and iteration), and leading architecture/code reviews. Tech stack: TypeScript/JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL. Compensation range provided: $160,000–$185,000 (base plus bonus). No immigration sponsorship for this position.

Very Big Things (engaged via Bitovi for initial interviews) seeks a Lead AI Engineer to architect and implement a core workflow automation platform, make stack and architecture decisions, and deploy/customize solutions for enterprise customers. Requires 7+ years building production software, 2+ years with generative AI in products, expertise in TypeScript/JavaScript and modern stacks, experience with data layers and cloud/DevOps, and strong client-facing and leadership skills.

Arize AI is hiring a Forward Deployed AI Engineer to work directly with enterprise customers to build custom integrations, MLOps pipelines, and production-grade generative AI observability/evaluation programs. Requires 2+ years software development experience (comfortable in at least two of Python, Java, TypeScript), experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes), and ability to manage multiple client engagements. Role is remote-first but requires candidates to be based in the San Francisco Bay Area / PST time zone. Salary range provided: $125,000–$175,000 per year.

Work on prompts, evals, and agent tooling to handle code (generate tests, fix bugs, improve performance), prototype and productionize systems integrated with Datadog products. Requires 5+ years backend experience (Go, Java, Python) and prior production experience with LLMs or related ML/AI systems.

Lead end-to-end development of LLM/agent workflows that analyze traces, metrics, logs, and telemetry to generate diagnoses, explanations, and guided fixes. Prototype, evaluate, iterate, and productionize scalable, reliable backend services integrated into Datadog's APM UI; collaborate with PM and Design and own production reliability and performance.

Reddit seeks a Senior Staff Machine Learning Engineer to define and lead its GenAI Platform strategy and architecture, build features like a unified LLM Gateway, drive MLOps/LLMOps practices, and ensure observability, reliability, and scalability. Requires 10+ years of relevant experience and deep experience with Kubernetes, cloud platforms (e.g., AWS, Google Cloud Storage), Terraform, and languages such as Go and Python. Base salary range provided for US: $292,500–$409,500 USD/year.

Primary contributor role delivering proactive advisory engagements to secure AI systems, perform technical analysis and threat modeling, develop automation use cases, modernize security programs, and produce written and verbal reports. Requires 2+ years relevant experience across security automation, security operations, consulting, or security program development; up to 30% travel; US-based remote role.

Stripe seeks an Engineering Manager to lead a senior, cross-continent team deploying LLM agents and AI developer tooling to improve engineering productivity. Responsibilities include setting product direction, delivering internal user experiences, partnering across the company, and analyzing usage data. Minimum requirements: 2+ years managing engineering teams and at least 5+ years of software engineering experience; experience recruiting and delivering product experiences is required.

Grafana Labs is hiring a Staff AI Engineer (remote, applicants in US time zones) to own AI agent infrastructure and an automation platform for GTM teams. Responsibilities include building multi-agent architectures, LLM integrations, RAG pipelines, backend APIs/CLIs/microservices (GCP/BigQuery/serverless), observability, governance, and self-service automation. Requirements include 8+ years software engineering, 2+ years applying LLMs in production, strong Python and Node.js skills, experience with orchestration frameworks and production monitoring, and familiarity with Google Cloud/BigQuery.