Top AI Engineer Jobs

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

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.

Build, secure, and operate GenAI platform infrastructure on AWS. Deploy and harden GenAI components, maintain CI/CD pipelines and IaC, manage IAM, networking, secrets, logging, and data stores (graph and vector DBs). Partner with DevOps and InfoSec to improve reliability, security, runbooks, and documentation for agentic systems.

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.

As a Senior Fullstack Software Engineer, you will design and build fullstack systems for AI agents, collaborating with engineering, product, and design teams while documenting findings and participating in technical discussions.

Develop and deploy machine learning solutions for autonomous truck applications: EDA, deep learning model development, embedded deployment, data ingestion/curation, analytics, visualization, technical leadership, and process improvement across manufacturing and business domains.

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

Design and build secure, production-grade infrastructure that enables agentic AI systems to interact with Strikes platforms. Develop authentication/authorization for agents, orchestration and runtime environments, IDE agents, enterprise knowledge connections, tiered autonomy safety mechanisms, and embed with teams to operationalize frontier AI tools while enforcing security and ownership.

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.

The role involves owning the infrastructure for training and deploying RL-based control systems in humanoid robots, enhancing speed, efficiency, and collaboration among teams.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.

Design, build, and operate agentic AI systems for Roku TV: prototype, architect, and deploy agents and copilots; implement RAG, tool/function-calling, orchestration, observability, evaluation, and safeguards; integrate agents with backend services and production pipelines; collaborate across teams to deliver scalable, reliable solutions.

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.

As a Senior Forward Deployed Engineer, you'll drive customer engagements, manage technical projects, and deliver scalable solutions while mentoring other engineers.

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.

Design, build, and support an AI-ready enterprise data enablement platform using Databricks, dbt, Delta Lake, and Azure data services. Create reusable CI/CD and IaC accelerators, govern data products via Unity Catalog, enable analytical access with Starburst/Trino, troubleshoot production issues, and collaborate with cross-functional teams to deliver governed, reusable, and production-grade data products for analytics and GenAI use cases.

Build and scale AI/ML-enabled features across frontend, backend, and data pipelines. Productionize ML models, deploy MLOps workflows, integrate inference APIs, optimize data models, ensure reliability, and collaborate with cross-functional teams for mission-critical analytics.

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

Design and lead data science solutions: ingest and analyze structured and unstructured data, build predictive models and NLP systems, integrate enterprise tools, and advise clients while guiding teammates on AI/ML workflows and deployments.