Find your next AI-scored role.

Applied AI Inference Engineer at Baseten building production AI systems for customers. Role combines hands-on Python development, customer-facing implementation, and product engineering to deploy high-scale inference applications on Baseten's platform.

AI Solutions Engineer at Baseten, an inference platform for AI companies. Role combines hands-on Python development with customer-facing implementation, deploying production AI systems end-to-end from design through monitoring.

Solutions Architect at Cloudflare helping customers build applications on the Developer Platform and AI services. Combines technical architecture expertise with sales enablement, designing proofs of concept and advising on cloud infrastructure and serverless solutions.

Delivery Solutions Architect at Databricks responsible for post-sale technical strategy and execution across the Databricks Data Intelligence Platform. Leads complex customer onboarding, use-case adoption, and technical program delivery for enterprise accounts.

Site Reliability Engineer at Mistral AI building scalable infrastructure for AI platform and ML workloads. Focus on reliability, observability, and automation across distributed systems and HPC clusters.

Solutions Architect at LangChain designing and deploying production AI agent infrastructure for enterprise customers. Combines infrastructure engineering, agent system architecture, and customer-facing technical leadership.

Deployed Engineer at LangChain working directly with enterprise customers to co-architect, build, and operate production AI agents. Combines hands-on engineering with customer-facing technical advisory, requiring 3+ years of software or solutions engineering experience and deep knowledge of LLM-powered systems.

Deployed Engineer at LangChain working directly with enterprise customers to co-architect, build, and operate production AI agents. Combines hands-on engineering with customer-facing technical advisory, covering pre-sales POCs through post-deployment support.

Deployed Engineer at LangChain working directly with enterprise customers to co-architect and deploy production AI agents. Combines technical engineering with customer-facing advisory, covering architecture design, POCs, and post-deployment operations.

Deployed Engineer at LangChain working directly with enterprise customers to co-architect, build, and operate production AI agents. Combines hands-on engineering with customer-facing technical advisory, covering pre-sales POCs through post-deployment support.

Staff Machine Learning Engineer at Twilio building data pipelines, ML infrastructure, and real-time intelligence systems for the Trust Intelligence Platform. Focus on orchestration, feature stores, model training/inference, and cloud-native MLOps.

Senior Virtualization Validation Engineer at Crusoe validating large-scale GPU clusters and multi-node virtualization. Focus on QEMU/Cloud Hypervisor, interconnect fabric testing (NVLink, InfiniBand, RoCE), and collective communication libraries (NCCL/RCCL) for AI workloads.

Machine Learning Engineer at Airbnb building agentic AI systems for customer support. Focus on LLM fine-tuning, multi-agent orchestration, RAG, and production ML infrastructure for Chat and Voice AI assistants.

Staff+ backend engineer at Anthropic building systems powering Claude API, Claude Code, and Claude.ai. Own complex multi-month projects across serving infrastructure, API capabilities, knowledge systems, developer experience, agents, enterprise foundations, identity, and marketplace platforms.

Forward Deployed Research Engineer at Poolside building agentic systems for enterprise customers. Combines software engineering, applied AI research, and product work to deploy high-reliability AI systems in the field while feeding signals back to core R&D.

Physical Design Engineer at Tenstorrent leading Die-to-Die interface implementation from RTL to GDSII for multi-die chiplet architectures. Requires 5+ years at advanced nodes with expertise in high-speed interfaces, timing closure, and full physical design flow.

Technical Program Manager at Tenstorrent driving end-to-end execution of next-generation SoCs from architecture through tape-out and post-silicon validation. Requires 10+ years semiconductor experience and strong technical depth in silicon development alongside program management expertise.

Static Timing Analysis (STA) methodology engineer at Tenstorrent building timing flows for high-performance AI chip designs. Leads cross-functional STA methodology development, PrimeTime expertise, and ML-assisted timing automation across advanced-node designs.

Staff Technical Program Manager at Tenstorrent managing end-to-end delivery of AI model IP and software stack to customer environments. Bridges compiler, hardware, and runtime teams to ensure performance, correctness, and deployability of AI systems on custom accelerators.

Staff physical design engineer at Tenstorrent implementing high-performance CPU and AI/ML accelerator blocks. Owns synthesis-to-tapeout flow, optimizing performance, power, and area on advanced process nodes.

Staff Engineer leading emulation infrastructure and technical strategy for Tenstorrent's high-performance RISC-V CPUs. Focus on CPU verification, debug workflows, and cross-functional collaboration to enable silicon bring-up and customer systems.

Senior software engineer at Tenstorrent building TT-Forge, an MLIR-based compiler for AI hardware. Focus on compiler optimization, custom dialects, and transformation passes to enable efficient AI model execution across Tenstorrent hardware.

Sr. Engineer at Tenstorrent focused on pre-silicon verification of DFD logic in advanced AI SoCs. Develops verification environments for scan, MBIST, and debug features using UVM and Siemens Tessent workflows.

Senior engineer at Tenstorrent building performance infrastructure for a RISC-V CPU design. Focus on performance analysis, verification tools, and optimization across pre-silicon and post-silicon phases.

Software engineer at Tenstorrent building distributed systems for AI and HPC clusters. Focus on multi-node coordination, inter-node communication, and scaling inference/training infrastructure using C/C++ and systems programming.