Remote (Canada) Staff AI Engineer role at SecurityScorecard: lead end-to-end design and delivery of AI systems (LLM pipelines, agentic workflows, retrieval and evaluation infrastructure), set engineering standards for AI-native development, collaborate with product and CTO organization, and drive cross-team technical strategy. Requires 7+ years software engineering and 3+ years shipping AI-powered features; strong TypeScript and backend/distributed systems experience; AWS preferred.

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.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship AI-powered customer-facing features, integrating foundation models and architecting agentic workflows. Requires 5+ years software engineering experience, 2+ years in production AI applications, proficiency in TypeScript, backend fundamentals, distributed systems experience (AWS preferred), and familiarity with CI/CD, Docker/Kubernetes, and production monitoring. Position is remote (CAN); company 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.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

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.

Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

CrowdStrike is hiring an AI Agent Engineer to own the full lifecycle of LLM-based agents—from prototype to production—focusing on agent development, prompt engineering, fine-tuning (LoRA/QLoRA), optimization, and scalable secure deployments. Role is Canadian-based remote; base salary range provided.

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.

Own end-to-end design, implementation, deployment, and operation of multi-agent AI systems, LLM integrations, and backend services that connect models to internal and third-party data (BigQuery, CRMs, Slack). Define platform APIs, data models, governance, and observability; build scalable serverless/containerized services on GCP; and partner with RevOps, GTM systems, and Data Engineering to deliver self-service automation for Sales, Customer Success, and Marketing. Role is remote for Canada time zones.

Join DuckDuckGo's Data Science team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and production ML/NLP/LLM work. Role requires 7+ years' experience, production-grade Python, advanced SQL and familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid). Position is remote with expected ~40 hours/week and at least two company travel events per year. Compensation is $178,500 USD annually plus stock options.

Join Reddit's Machine Learning Platform team to design, implement, and operate a large-scale GenAI platform and LLM Gateway. Responsibilities include building RAG applications (embeddings, vector search, retrieval), implementing agentic AI workflows (e.g., LangChain/LangGraph), driving MLOps/LLMOps practices (CI/CD, versioning, testing), and establishing observability/monitoring and governance for production GenAI pipelines. The role expects experience with cloud infrastructure (AWS, GCS), Kubernetes, infrastructure-as-code (Terraform), and strong proficiency in Python and/or Go.