Hiring a Senior Staff Software Engineer to define and lead the architecture of Tide's agentic platform, building shared capabilities (context APIs, orchestration, tool layers, policy controls, observability, evaluation) and partnering across product, data, security, and engineering. Role involves platform-level technical leadership, third-party integration decisions, LLM cost/routing optimisation, and building automated evaluation pipelines.

AE Studio is hiring an Applied AI Data Scientist to build data-driven solutions across client projects and internal research, including LLM lifecycle work (prompting, RAG, vector DBs, fine-tuning) and ML across tabular, time-series, NLP, and vision. Requires strong Python skills, deep learning experience (PyTorch/TensorFlow/JAX), statistical and causal ML fundamentals, and effective English communication; remote-first with the option to work from a Florianopolis office in Brazil.

Technical owner of the company's data platform responsible for architecture, technical leadership, and delivery. Partner with product, engineering, data science, and business stakeholders to design and implement ETL, data models, and AI-driven capabilities using Snowflake, DBT, SQL, Python, Airflow, Docker and AWS services. Requires 7+ years of data engineering experience and production cloud-native development.

Lead the Code Gen team to design, build, and optimize AI/LLM-driven code transformation workflows and tools that modernize legacy, relational-database-based applications into microservices on MongoDB. Requires 8+ years of software development experience, expertise with relational databases (Oracle, MySQL, SQL Server, PostgreSQL), code analysis/refactoring and automated testing, and practical experience integrating GenAI/LLMs into large-scale systems. Role based in North America with responsibilities for architectural leadership, technical strategy, mentorship, and cross-functional collaboration.

Join Tide as a Staff-level Backend/Platform Engineer to design and build core services (APIs, workflow orchestration, tool integration) that enable Generative AI capabilities at scale. Collaborate with product, data, platform, and security teams to productionise shared AI features, ensure reliability, security and observability, and shape reusable engineering patterns. Tech stack includes Java/Spring Boot, event-driven messaging (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform, EKS and various observability and CI/CD tools.

Join Tide's Agentic Platform team in Lithuania as a Staff Software Engineer to design and build core services (APIs, orchestration, tool integration) that scale Generative AI capabilities across the enterprise. The role emphasises backend/platform engineering, service design, reliability, security, observability and collaboration with product, data, platform and security teams; tech stack examples include Java/Spring Boot, AWS, Kafka, MySQL/Postgres, Docker, Terraform and various CI/CD and monitoring tools.

Join Tide as a Staff Backend/Platform Engineer working on the agentic platform: build core services (APIs, workflow orchestration, tool integration), productionise shared AI capabilities, and define reusable engineering patterns for AI-enabled workflows. The role emphasises reliability, security, observability and developer usability and uses technologies such as Java/Spring Boot, event-driven messaging (SNS/SQS, Kafka), MySQL/Postgres on AWS, Docker, Terraform and EKS.

Join Tide as a Staff Software Engineer on the agentic platform team to design and build core services (APIs, workflow orchestration, tool integration) that productionise shared AI capabilities. Role focuses on reliable, secure, observable services and reusable engineering patterns across product, data, platform and security teams; tech includes Java/Spring Boot, event-driven systems (SNS/SQS, Kafka), AWS, MySQL/Postgres, Docker, Terraform and observability/CI tooling.

Lead design and delivery of major AI-powered product initiatives from concept through production, define technical architecture for LLM pipelines, agentic workflows, retrieval and evaluation infrastructure, and set engineering standards. Requires 7+ years software engineering experience, 3+ years building/shipping AI-powered features (LLM integration/agentic systems), proficiency in TypeScript, backend and cloud (AWS) experience. Position is hybrid in Austin, TX; employer does not provide immigration sponsorship.

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.

Arize AI seeks a Forward Deployed AI Engineer (remote, EMEA) to lead client engagements building production-grade GenAI observability and evaluation programs, custom integrations, and tooling. Requires 2+ years software development experience (2–5 years noted), comfort in at least two of Python/Java/TypeScript, and experience with MLOps, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes. Estimated salary $155,000–$225,000 USD per year.

Customer-facing role partnering with account executives to articulate Arize’s value, run product demonstrations, advise on GenAI/ML best practices, lead discovery and Proof of Concept motions. Requires 3+ years in a customer-facing engineering role and proficiency in Python/TypeScript and LLM/agent frameworks.

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.

NVIDIA is hiring a Senior HPC and AI Network Software Architect to build and evolve scalable systems for distributed AI training and real-time inference. Responsibilities include developing communication and runtime capabilities (e.g., NCCL, UCX, UCC), partnering with AI framework teams (TensorFlow, PyTorch, JAX), and collaborating on hardware/system features across GPUs, DPUs, and interconnects. Requires Ph.D. or equivalent experience, 5+ years in systems programming, parallel/distributed computing or HPC, and strong C++, Python, and GPU programming experience. Locations referenced: UK, Poland, Germany, Switzerland (Zurich) and remote.