Top AI Engineer Jobs

Design and develop scalable infrastructure and services for data pipelines and distributed systems, working on an AI/ML platform for enterprise applications.

Build scalable, resilient agentic AI and LLM/ML solutions. Translate requirements into high-level and detailed architectures. Implement solutions using Python/C++ and ML frameworks, applying AI/ML fundamentals, data structures, algorithms, and distributed systems.

The AI Research Engineer will design and implement ML models, develop RL algorithms, and collaborate on integrating ML systems, enhancing AI experimentation.

Work directly with clients to design, build, and deploy end-to-end production software and AI solutions. Lead solution architecture across backend, frontend, data pipelines, and ML models; develop production-grade applications; engage stakeholders from engineers to executives; and contribute reusable frameworks and best practices.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

As an AI Research Engineer, you will work on developing AI video ad models, collaborating with teams, and contributing to research for publications.

Design and build fault-tolerant, distributed infrastructure for AI agents (memory, state, execution). Own architecture, deploy production services, create observability/eval tooling, collaborate on compliance workflows, improve performance and reliability, and mentor engineers.

Join AlphaSense as a Senior AI Engineer to develop scalable AI services for their search products, focusing on large language models and cloud deployment.

Build and maintain integrations and automations connecting CRM, Microsoft 365, e-signature, custodial/banking systems and reporting. Use LLMs (Claude) and automation tools to extract, process, and verify document-heavy workflows with human-in-the-loop review, monitoring, and auditability, within security and compliance frameworks. Partner across teams and help set AI/automation standards.

As an AI Engineer at Extend, you'll build advanced document processing infrastructures and AI product features, impacting customer operations significantly.

The Automations & AI Specialist will enhance customer support using AI tools, optimize workflows, and analyze data to improve efficiency in product support.

As a Senior AI Systems Performance Engineer, you will benchmark AI workloads, optimize Ethernet fabric performance, and troubleshoot system bottlenecks, focusing on delivering actionable insights across teams.

Design and develop machine learning systems for construction robots, including scalable infrastructure, computer vision models, and data analysis for performance improvement.

As an AI Infrastructure Engineer, you will manage user-facing services, ensure system reliability, and improve infrastructure using automation tools such as Ansible and Terraform while collaborating with various stakeholders.

Embed with cross-functional teams to map high-value workflows, design automated agentic or deterministic solutions, build production tools and integrations, monitor performance, run evaluations after model changes, and continuously improve AI-driven workflows while communicating impact to stakeholders.

As an AI Systems Engineer, you'll design production systems for Codex agents, improve reliability and performance, and collaborate closely with research to enhance model capabilities.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

Develop CAD automation pipelines and collaborate with teams to optimize designs for micromachines, ensuring manufacturability and functionality.

Develop real-time Voice AI systems, mentor juniors, and collaborate with customers to optimize call intelligence and reduce latency.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

The Senior Associate will build and extend the data platform and AI applications, focusing on data engineering, cloud infrastructure, and AI development.

Design, prototype, and deliver enterprise AI solutions (RAG, LLMs, agents). Architect data flows and integrations, evaluate third-party models, build production features, establish telemetry and evaluation, partner with stakeholders, maintain AI roadmap, and evangelize AI adoption across business units.

Lead a small team to research, develop, train, optimize, and deploy computer vision and multimodal fusion AI/ML models for remote sensing (EO/SAR). Analyze large datasets, translate research into operational systems, present technical findings to customers, and produce supporting documentation and user guides.

The role involves developing AI/ML algorithms in various disciplines, analyzing datasets, and mentoring team members within a research environment.

Develop and manage the research infrastructure for AI at Databricks, focusing on large-scale training, orchestration, and improving developer productivity.